...
Name | Institution | Science Collaborations of Interest | End of Term | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | James Aird | Institute for Astronomy, University of EdinburghCo-evolution of AGN and galaxies. Synergy with multiwavelength surveys | .Active Galactic Nuclei; Galaxies; Informatics and Statistics | 31/12/2023 | ||||||
| 2 | David Alonso | University of Oxford, Department of Physics | Cosmology, Dark Energy, large-scale structure, weak lensing, data analysis, high-performance computing; Galaxies | 31/12/2021 | ||||||
| 3 | Adam Amara | Institute of Cosmology and Gravitation, University of Portsmouth | My interest is in large scale. In particular weak lensing and galaxy clustering. I also work actively on forward modelling and likelihood free analysis methods. | 31/12/Dark Energy; Galaxies; Informatics and Statistics | 31/12/2022 | |||||
| 4 | David Bacon | Institute of Cosmology and Gravitation, University of PortsmouthConstraints on gravitational theories using probes of large-scale structure: weak lensing, clustering. Cross-correlations with radio surveys for mutual help with redshifts and constraints. | Dark Energy; Informatics and Statistics; Strong Lensing | 31/12/2022 | ||||||
| 5 | Tessa Baker | Queen Mary University of London | Tests of gravity and dark energy with large-scale structure, simulations for dark energy models, multi-messenger astronomy i.e. LSST electromagnetic counterparts for gravitational wave sources. | Dark Energy; Transient/ Variable Stars | 31/12/2022 | |||||
| 6 | Ivan Baldry | Astrophysics Research Institute, Liverpool John Moores University | Galaxy demographics. Cosmic star-formation rate. Preserving and detecting low-surface-brightness light in coadds. Photometric redshifts. Cadence of repeat imaging for supernovae identification. Galaxies; Transient/ Variable Stars; Informatics and Statistics | 31/12/2023 | ||||||
| 7 | Manda Banerji | University of SouthamptonGalaxy formation and evolution, AGN, survey science | Galaxies; Active Galactic Nuclei | 31/12/2023 | ||||||
| 8 | Vasily Belokurov | Institute of Astronomy, University of CambridgeMy interests and expertise are in the studies of the Galactic structure (e.g. Milky Way stellar halo) and dynamics, analysis of large datasets, transients. | Stars, Milky Way and Local Volume; Transient/ Variable Stars; Informatics and Statistics | 31/12/2023 | ||||||
| 9 | Malcolm Bremer | School of Physics, University of Bristol(1) To identify and study optically-luminous galaxies within high redshift proto-clusters, and (2) to explore and derive joint constraints from morphology and SED on galaxy star formation histories. | Galaxies; Active Galactic Nuclei; Dark Energy | 31/12/2023 | ||||||
| 10 | Philip Bull | School of Physics and Astronomy, Queen Mary University of London | Dark energy science; parameter inference; joint cosmological analyses/cross-correlations; tests of gravity and fundamental physicsEnergy | 31/12/2023 | ||||||
| 11 | Erminia Calabrese | Cardiff University | My main interest lies in combining LSST cosmological probes with future Cosmic Microwave Background datasets. | Dark Energy; Galaxies; Informatics and Statistics | 31/12/2022 | |||||
| 12 | Apostolos Christou | Armagh Observatory and Planetarium | Solar system small bodies: the asteroid Main Belt, Martian & Terrestial Trojans, their origin and existence, characterising the present population.System; Informatics and Statistics | 31/12/2023 | ||||||
| 13 | Thomas Collett | ICG PortsmouthLSST strong lensing, observational cosmology. | Dark Energy; Strong Lensing | 31/12/2023 | ||||||
| 14 | Chris Collins | Astrophysics Research Institute, Liverpool John Moores University | The origin and properties of the Intra Cluster Light and its role in building the stellar mass at the centres of rich clusters: techniques for optimal ICL recovery from LSST data. | 31/12 Galaxies; Dark Energy; Stars, Milky Way and Local Volume | 31/12/2022 | |||||
| 15 | Michelle Collins | University of SurreyResolved stellar populations, galaxy evolution, dark matter, ultra diffuse galaxies, stellar streams | Stars, Milky Way and Local Volume; Galaxies; Transient/ Variable Stars | 31/12/2022 | ||||||
| 16 | Christopher Conselice | U. of ManchesterI am examining the structures of galaxies, including simulations using LSST/Rubin properties to see how well galaxy structure can be measured, including LSB features. | Galaxies; Informatics and Statistics; Dark Energy | 31/12/2023 | ||||||
| 17 | Roger Davies | Astrophysics, Physics Dept, University of OxfordInterests: galaxy evolution and cosmology. I wish to develop and test methods chart the merger history of galaxies from the low surface brightness light that surrounds them. | Galaxies; Dark Energy | 31/12/2022 | ||||||
| 18 | Alis Deason | Durham University, Institute for Computational Cosmology | My research uses the surviving and destroyed dwarf galaxies in the Milky Way to unravel the Galaxy's assembly history, measure the dark matter profile of the halo, and test cosmological theories.Stars, Milky Way and Local Volume | 31/12/2021 | ||||||
| 19 | Victor Debattista | University of Central Lancashire, Jeremiah Horrocks Institute | The bulge and disc of the Milky WayStars, Milky Way and Local Volume; Galaxies; Transient/ Variable Stars | 31/12/2023 | ||||||
| 20 | Simon Dye | University of Nottingham, School of Physics and Astronomy | Development of efficient automated techniques for modelling new LSST strong gravitational galaxy lens samples, including deep learning methods. Scientific analysis of these lens samples. | 31/12/2022 | 21 | Strong Lensing | 31/12/2022 | |||
| 21 | Alastair Edge | Durham UniversityMy principle scientific interest is clusters of galaxies with connection to NIR surveys and multiwavelength studies. | Galaxies; Active Galactic Nuclei; Dark Energy | 31/12/2021 | ||||||
| 22 | Wyn Evans | Cambridge UniversityGalactic | astronomy and dynamics - particularly the interplay between Gaia & LSST for studying faint substructure and variable stars in the Local Group. Stars, Milky Way and Local Volume; Galaxies; Strong Lensing | 31/12/2021 | ||||||
| 23 | Annette Ferguson | Institute for Astronomy, University of Edinburgh | Resolved stellar populations in the local universe (Milky Way and galaxies out to ~5 Mpc distance). Low surface brightness structures around the galaxy population at large. Stars, Milky Way and Local Volume; Galaxies | 31/12/2021 | ||||||
| 24 | Pedro Ferreira | University of Oxford | Cosmology: precision constraints of Dark Energy, Dark Matter and Gravity; statistical methods for clustering and lenseing (focusing on angular power spectra). 31; Informatics and Statistics | 31/12/2023 | ||||||
| 25 | Alan Fitzsimmons | Queen's University Belfast | Scientific Interests: Asteroids undergoing activity due to collisions, spinup or sublimation; Cometary activity and outbursts; Detection and observation of Interstellar Objects.Solar System | 31/12/2023 | ||||||
| 26 | Poshak Gandhi | School of Physics & Astronomy, University of Southampton | Transients and long-term variables; Multiwavelength surveys from X-rays to optical and infrared; Evolution of black holes and galaxies. Transient/ Variable Stars; Stars, Milky Way and Local Volume; Active Galactic Nuclei | 31/12/2021 | ||||||
| 27 | Oscar Gonzalez | UK Astronomy Technology Centre | Wide-field stellar populations (age, metallicity) and structure of the MW BulgeStars, Milky Way and Local Volume | 31/12/2023 | ||||||
| 28 | Or Graur | University of Portsmouth / Institute of Cosmology and GravitationI am interested in supernova rates and conducting follow-up observations of LSST candidates using GOTO and the La Silla Schmidt Southern Survey (imaging), along with DESI and 4MOST (spectroscopy). | Transient/ Variable Stars; Dark Energy | 31/12/2023 | ||||||
| 29 | Alan Heavens | Imperial College/PhysicsScientific: cosmological parameters, dark energy, gravity. Technical: principled statistical analysis of cosmological data, especially cosmic shear. | Dark Energy; Informatics and Statistics | 31/12/2022 | ||||||
| 30 | Martin Hendry | University of Glasgow School of Physics and Astronomy | I am interested in the use of LSST galaxy survey data to contribute to gravitational-wave cosmology using "dark sirens" - i.e. compact binary coalescences without an explicit EM counterpart. | 31/12/2022 | 31 | Catherine Heymans | Institute for Astronomy, University of Edinburgh | Observational Cosmology: weak gravitational lensing and large-scale structure. | Informatics and Statistics; Galaxies; Transient/ Variable Stars | 31/12/2022 |
| 31 | Catherine Heymans | Institute for Astronomy, University of Edinburgh | Dark Energy; Informatics and Statistics | 31/12/2021 | ||||||
| 32 | Sebastian Hoenig | University of Southampton | Active Galactic Nuclei, transients, variability, time-dependent radiative transfer, time-domain surveys, multi-wavelength SEDs and catalogues, radiation-hydrodynamics; Transient/ Variable Stars; Galaxies | 31/12/2021 | ||||||
| 33 | Isobel Hook | Lancaster University Physics DepartmentI | am interested in supernovae and their use for cosmology. I am a member of the DESC supernova WG. I am also interested in the synergy between LSST and EUCLID, 4MOST and E-ELT.Dark Energy; Transient/ Variable Stars; Informatics and Statistics | 31/12/2022 | ||||||
| 34 | Cosimo Inserra | School of Physics and Astronomy, Cardiff University | Transient/ Variable Stars; Dark Energy; Informatics and Statistics | 31/12/2021 | ||||||
| 35 | Matt Jarvis | Oxford Physics | Galaxies; Dark Energy; Active Galactic Nuclei | 31/12/20222021 | ||||||
| 3436 | Cosimo Inserra | School Benjamin Joachimi | UCL, Department of Physics and Astronomy, Cardiff UniversityMy current scientific research interest focus on observational studies of supernovae explosions. From the technical point of view, I am interested in machine learning classifier of optical transients. | Dark Energy; Informatics and Statistics | 31/12/2021 | |||||
| 35 | Matt Jarvis | Oxford Physics | photo-zs for AGN, Galaxies and DE SCs. Combining with multi-wavelength data (principally NIR and radio). I'm a member of all of these SCs. | 31/12/2021 | ||||||
| 36 | Benjamin Joachimi | UCL, Department of Physics and Astronomy | Cosmology, primarily with large-scale structure probes; data analysis techniques and statistical inference2022 | |||||||
| 37 | Geraint Jones | UCL Mullard Space Science Laboratory | Solar System | 31/12/2023 | ||||||
| 38 | Sugata Kaviraj | University of Hertfordshire | Galaxies; Active Galactic Nuclei; Informatics and Statistics | 31/12/2022 | ||||||
| 3739 | Geraint JonesThomas Kitching | UCL Mullard Space Science LaboratorySearch for target comets for ESA Comet Interceptor mission. Cometary nuclei, dust and ion tails, including their interactions with the solar wind. Dust trails occupying comets’ orbits. MSSL | Dark Energy; Informatics and Statistics | 31/12/20232021 | ||||||
| 3840 | Sugata KavirajKazuya Koyama | University of Hertfordshire | Observational studies of galaxy evolution using wide-area surveys, cosmological hydro-dynamical simulations, machine-learning techniques for LSST | 31/12/2022 | 39 | Thomas Kitching | UCL MSSL | I am interested in weak lensing, cosmic shear, convergence mapping, systems engineering, Bayesian and machine learning methodology. Portsmouth | Dark Energy | 31/12/2023 |
| 41 | Ofer Lahav | University College London | Dark Energy; Informatics and Statistics; Galaxies | 31/12/20212022 | ||||||
| 4042 | Kazuya KoyamaDanielle Leonard | Newcastle University of PortsmouthI am interested in testing beyond LCDM models in the light of recent findings of “tensions” in LCDM such as the Hubble constant measurement and the amplitude of weak lensing measurements. , School of Mathematics, Statistics and Physics | Dark Energy; Informatics and Statistics | 31/12/20232022 | ||||||
| 4143 | Ofer Lahav | University College London | Probes of Dark Energy - Neutrio mass - Photo-z -AI methods for big data Chris Lintott | Dept. of Physics, University of Oxford | Galaxies; Informatics and Statistics; Transient/ Variable Stars | 31/12/2022 | ||||
| 4244 | Danielle LeonardJon Loveday | Newcastle University , School of MathematicsSussex, Statistics and Physics Weak lensing and galaxy clustering to test cosmology, with a particular interest in beyond-LCDM models and astrophysical systematic effects, and applying novel statistical methods for this purpose.& Astronomy | Galaxies; Dark Energy; Informatics and Statistics | 31/12/2023 | ||||||
| 45 | Philip Lucas | University of Hertfordshire | Stars, Milky Way and Local Volume; Transient/ Variable Stars | 31/12/2022 | ||||||
| 4346 | Chris Lintott | Dept. of Physics, University of Oxford | I'm heavily involved in the LSST project's plans for citizen science across a variety of science cases. My own interest is mainly galaxy morphology, particularly low-surface brightness features. Kate Maguire | School of Maths and Physics, Queen's University Belfast | Transient/ Variable Stars; Dark Energy; Informatics and Statistics | 31/12/2021 | ||||
| 47 | Kaisey Mandel | Institute of Astronomy, University of Cambridge | Dark Energy; Informatics and Statistics; Transient/ Variable Stars | 31/12/2022 | ||||||
| 4448 | Jon Loveday | University of Sussex, Physics & Astronomy | Member of DESC and Galaxies collaborations. Interested in LSS constraints on cosmological models; abundance of dwarf/LSB galaxies. Reliable automated photometry of resolved galaxy images.Bob Mann | Institute for Astronomy, School of Physics and Astronomy, University of Edinburgh | Dark Energy; Galaxies; Informatics and Statistics | 31/12/2022 | ||||
| 49 | Ben Maughan | University of Bristol, School of Physics | Galaxies; Dark Energy | 31/12/2023 | ||||||
| 4550 | Philip LucasJustyn Maund | University of HertfordshireStar formation, unusual variable stars, brown dwarfs, exoplanets. Milky Way & Local Volume coll. (member). Transients & Variable Stars coll. Optical-IR science: LSST+VVV/VVVX. Astrometry.Sheffield, Department of Physics and Astronomy | Transient/ Variable Stars; Informatics and Statistics | 31/12/2022 | 46 | Kate Maguire | School of Maths and Physics, Queen's University Belfast | I am a member of the Dark Energy Science collaboration and the Transient and Variable stars2023 | ||
| 51 | Jason McEwen | UCL MSSL | Informatics and Statistics; Dark Energy; Transient/ Variable Stars | 31/12/20212022 | ||||||
| 4752 | Kaisey Mandel | Institute of Astronomy, Sean McGee | University of Cambridgesupernova cosmology, transients, photometric classification of transient light curves, astrostatistics, astroinformatics, and machine learning in astronomy, Bayesian modeling, computation/inference.Birmingham | Galaxies; Strong Lensing; Active Galactic Nuclei | 31/12/2022 | |||||
| 4853 | Bob MannRichard McMahon | Institute for of Astronomy, School of Physics and Astronomy, University of EdinburghData management. Galaxy evolution. Cosmology. Transient astronomy.University of Cambridge | Active Galactic Nuclei; Galaxies; Dark Energy | 31/12/2021 | ||||||
| 54 | Daniel Mortlock | Physics and Mathematics, Imperial College London | Active Galactic Nuclei; Informatics and Statistics | 31/12/20222021 | ||||||
| 4955 | Ben MaughanJames Mullaney | The University of BristolSheffield, School Department of Physics I am interested in using LSST to detect and characterise clusters of galaxies in order to use them as cosmological probes, and study cluster astrophysics and galaxy evolution.and Astronomy | Active Galactic Nuclei; Informatics and Statistics; Galaxies | 31/12/20232022 | ||||||
| 5056 | Justyn MaundTim Naylor | University of Sheffield, Department of Physics and Astronomy | Machine learning for classification and the identification of young transients for the purpose of polarimetric followup. | Exeter | Stars, Milky Way and Local Volume; Transient/ Variable Stars; Informatics and Statistics | 31/12/20232021 | ||||
| 5157 | Jason McEwen | UCL MSSL | I am interested in LSST for weak gravitational lensing studies of dark energy and dark matter and for transient studies. Matt Nicholl | University of Birmingham, School of Physics and Astronomy | Transient/ Variable Stars | 31/12/20222023 | ||||
| 5258 | Sean McGeeHiranya Peiris | University of Birmingham | I have wide interests in LSST science, focused on galaxy evolution and low-surface brightness science, but also tidal disruption events, strong lensing and overlap with gravitational wave sources.Department of Physics and Astronomy, UCL | Dark Energy; Informatics and Statistics | 31/12/20222021 | |||||
| 5359 | Richard McMahonDaniel Perley | Astrophysics Research Institute of Astronomy, University of CambridgeQuasars in the Epoch of Reionization; discovery and characterisation of highest redshift quasars; formation and evolution of supermassive black holes and quasars; Gravitationally lensed quasars.Liverpool John Moores University | Transient/ Variable Stars | 31/12/2023 | ||||||
| 60 | Kevin Pimbblet | University of Hull, Department of Physics, E.A.Milne Centre for Astrophysics | Galaxies; Active Galactic Nuclei; Informatics and Statistics | 31/12/2021 | 54 | Daniel Mortlock | Physics and Mathematics, Imperial College London | |||
| 61 | Kathy Romer | University of Sussex | Dark Energy; Galaxies | 31/12/20212022 | ||||||
| 5562 | James MullaneyJason Sanders | The University of SheffieldCollege London, Department of Physics and AstronomyMy core scientific interests relate to active galactic nuclei and their relation to their host galaxies. I predominantly work with survey data, whether wide area, or deep "pencil-beam" surveys.& Astronomy | Stars, Milky Way and Local Volume; Transient/ Variable Stars | 31/12/2021 | ||||||
| 63 | Meg Schwamb | Astrophysics Research Centre, Queen's University Belfast | Solar System | 31/12/2022 | ||||||
| 5664 | Tim NaylorVicky Scowcroft | University of ExeterMy primary LSST interest is star formation, but I also have an interest in statistical methods. I am already a member of the SMWLV and Transient/Variable stars collaborations. Bath | Stars, Milky Way and Local Volume; Transient/ Variable Stars; Informatics and Statistics | 31/12/20212022 | ||||||
| 5765 | Matt NichollStephen Serjeant | The Open University of Birmingham, / School of Physics and AstronomyClassifying transients to find unusual/energetic sources for detailed follow-up. Data filtering / machine learning techniques on the alerts stream. ToO opportunities for GW counterpart searches.Physical Sciences | Strong Lensing; Active Galactic Nuclei; Dark Energy | 31/12/2023 | ||||||
| 5866 | Hiranya Peiris | Department of Physics and Astronomy, UCL | cosmological constraints from combined-probes analyses; LSST as a discovery machine for transients; gravitational wave multi-messenger astronomy; data analysis methodology. | Brooke Simmons | Lancaster University, Physics | Galaxies; Active Galactic Nuclei; Informatics and Statistics | 31/12/20212022 | |||
| 5967 | Daniel Perley | Astrophysics Research Institute, Liverpool John Moores University | I am interested primarily in energetic transients (supernovae and gamma-ray bursts) as probes of stellar and cosmic evolution.Stephen Smartt | Queen's University Belfast | Transient/ Variable Stars; Dark Energy | 31/12/20232022 | ||||
| 6068 | Kevin PimbbletGraham Smith | University School of Hull, Physics and Astronomy, University of Birmingham | Strong Lensing; Dark Energy; Galaxies | 31/12/2023 | ||||||
| 69 | Robert Smith | University of Sussex | Dark Energy; Informatics and Statistics | 31/12/2023 | ||||||
| 70 | Danny Steeghs | Department of Physics, E.A.Milne Centre for Astrophysics | We will use LSST data to test our noise reduction algorithm using autoencoders and classify the outputs. This will tie-in to our planned work to identify cosmic chronometers for future follow up. | 31/12/2021 | ||||||
| 61 | Kathy Romer | University of Sussex | Clusters of galaxies as cosmological and astrophysical probes. X-ray astronomy. | 31/12/2022 | ||||||
| 62 | Jason Sanders | University College London, Department of Physics & Astronomy | Milky Way disc, bulge and halo kinematics/dynamics, variable stars (e.g. RR Lyrae) as tracers of MW components and substructure, stellar streams and dwarf galaxies, substructure around other galaxies | 31/12/2021 | ||||||
| 63 | Meg Schwamb | Astrophysics Research Centre, Queen's University Belfast | Evolution and origin of the Solar System focusing on the small body populations; selection and characterization of the ESA Comet Interceptor Mission encounter target, and the search for Planet 9 | 31/12/2022 | ||||||
| 64 | Vicky Scowcroft | University of Bath | Studying of variable star populations of Local Group galaxies for a) local calibration of the extragalactic distance scale, and b) high precision studies of the 3D structure of resolved galaxies. | 31/12/2022 | ||||||
| 65 | Stephen Serjeant | The Open University / School of Physical Sciences |
| 31/12/2023 | ||||||
| 66 | Brooke Simmons | Lancaster University, Physics | I am interested in galaxy secular processes, minor/micro mergers, and black hole galaxy coevolution. I also work on developing software for inference and modelling in galaxy populations. | 31/12/2022 | ||||||
| 67 | Stephen Smartt | Queen's University Belfast | Software development for broker, filtering and classifying transients. Massive databases, cross-matching with multi-wavelength sources, multi-messenger astrononmy | 31/12/2022 | ||||||
| 68 | Graham Smith | School of Physics and Astronomy, University of Birmingham | Strong lensing, transients, gravitational wave follow-up, target of opportunity observations, galaxy clusters. | 31/12/2023 | ||||||
| 69 | Robert Smith | University of Sussex | Mapping the cosmological large scale structure. Understanding Dark Energy, Dark Matter, Neutrino Masses, Early Universe Physics. | 31/12/2023 | ||||||
| 70 | Danny Steeghs | Department of Physics, University of Warwick | My principal interest and expertise lies in time-domain and multi-messenger astrophysics, mining large surveys for rare objects, image processing pipelines and related data science. | 31/12/2021 | ||||||
| 71 | John Stott | Lancaster University, Physics Dept | My main science interests fall within the Galaxies Collaboration (with links to DE and AGN), with focus on: galaxy clusters and environment; high-z galaxies; low surface brightness galaxies; and AGN. | 31/12/2021 | ||||||
| 72 | Mark Sullivan | School of Physics and Astronomy, University of Southampton | supernovae; time domain astronomy; dark energy; optical transients; massive spectroscopic follow-up | 31/12/2022 | ||||||
| 73 | Nial Tanvir | University of Leicester | My primary interest is in transient science, especially GRBs, EM counterparts to gravitational wave sources, tidal disruption events, exotic supernovae. Also galaxy evolution and stellar populations. | 31/12/2021 | ||||||
| 74 | Jeff Tseng | Oxford Physics | Transients and correlations with neutrino and gravitational wave detectors; dark energy; real-time analysis and monitoring of the camera | 31/12/2023 | ||||||
| 75 | Nicholas Walton | Institute of Astronomy, University of Cambridge | Planetary Nebulae, and their use as probes of the chemo-dynamical evolution of the Milky Way. The LSST-Gaia boundary for MW structure studies. Tech: Image segmentation and spectral-data federation. | 31/12/2021 | ||||||
| 76 | Mike Watson | School of Physics and Astronomy, University of Leicester | Identification of XMM X-ray sources using deep LSST data for AGN studies. New programmes using LSST data will also act as a pathfinder for ESA's Athena mission. | 31/12/2023 | ||||||
| 77 | Anne-Marie Weijmans | University of St Andrews, School of Physics and Astronomy | Scientific interests: galaxy structure and morphology Technical interests: data management, data accessibility and distribution | 31/12/2021 | ||||||
| 78 | Vivienne Wild | University of St Andrews, School of Physics and Astronomy | Using deep multi-wavelength stacked LSST imaging to study the morphologies and stellar populations of quenching and recently quenched galaxies in both the local Universe and at higher redshift. | 31/12/2023 | ||||||
| 79 | Stijn Wuyts | University of Bath | Galaxy structure & intrinsic shapes from dwarf galaxies nearby to massive galaxies out to high redshift; stellar populations, dust/ISM and photometric redshifts; galaxy environment; IFU follow-up | 31/12/2022 | ||||||
| 80 | Joe Zuntz | Institute for Astronomy, University of Edinburgh | Weak Lensing & Galaxy Clustering, Cosmological parameter estimation, DESC pipeline s/w and workflow dev. | 31/12/2023 |
Junior Associates
Name | Institution | Science Collaborations of Interest | End of Term | 1University of Warwick | Transient/ Variable Stars; Stars, Milky Way and Local Volume | 31/12/2021 |
|---|---|---|---|---|---|---|
| 71 | John Stott | Lancaster University, Physics Dept | Galaxies; Active Galactic Nuclei; Dark Energy | 31/12/2021 | ||
| 72 | Mark Sullivan | School of Physics and Astronomy, University of Southampton | Dark Energy; Transient/ Variable Stars | 31/12/2022 | ||
| 73 | Nial Tanvir | University of Leicester | Transient/ Variable Stars; Galaxies; Stars, Milky Way and Local Volume | 31/12/2021 | ||
| 74 | Jeff Tseng | Oxford Physics | Transient/ Variable Stars; Dark Energy | 31/12/2023 | ||
| 75 | Nicholas Walton | Institute of Astronomy, University of Cambridge | Stars, Milky Way and Local Volume; Transient/ Variable Stars; Informatics and Statistics | 31/12/2021 | ||
| 76 | Mike Watson | School of Physics and Astronomy, University of Leicester | Active Galactic Nuclei; Galaxies; Informatics and Statistics | 31/12/2023 | ||
| 77 | Anne-Marie Weijmans | University of St Andrews, School of Physics and Astronomy | Galaxies; Stars, Milky Way and Local Volume | 31/12/2021 | ||
| 78 | Vivienne Wild | University of St Andrews, School of Physics and Astronomy | Galaxies; Active Galactic Nuclei; Informatics and Statistics | 31/12/2023 | ||
| 79 | Stijn Wuyts | University of Bath | Galaxies; Strong Lensing; Active Galactic Nuclei | 31/12/2022 | ||
| 80 | Joe Zuntz | Institute for Astronomy, University of Edinburgh | Dark Energy | 31/12/2023 |
Junior Associates
Name | Institution | Science Collaborations of Interest | End of Term | |
|---|---|---|---|---|
| 1 | Qasim Afghan | UCL London, Mullard Space Science Laboratory, Planetary Group | Solar System | 30/06/2023 |
| 2 | Shadab Alam | Institute for Astronomy, University of Edinburgh | Dark Energy; Informatics and Statistics; Galaxies | 31/12/2021 |
| 3 | Tarek Allam | UCL, Department of Space and Climate Physics, Department of Physics and Astronomy | Dark Energy; Transient/ Variable Stars; Informatics and Statistics | 31/12/2021 |
| 4 | Triana Almeyda | University of Southampton, Department of Physics & Astronomy | Active Galactic Nuclei; Galaxies; Transient/ Variable Stars | 31/12/2022 |
| 5 | Alba Vega Alonso Tetilla | Department of Astrophysics - University of Southampton (UK) | Active Galactic Nuclei; Dark Energy; Informatics and Statistics | 30/06/2023 |
| 6 | Catarina Alves | UCL Department of Physics and Astronomy | Dark Energy; Transient/ Variable Stars; Informatics and Statistics | 31/12/2021 |
| 7 | Charlotte Angus | University of Southampton | Dark Energy; Transient/ Variable Stars | 31/12/2021 |
| 8 | Doug Arnold | Liverpool John Moores University, Astrophysics Reserach Institute | Informatics and Stats; TVS | 31/03/2022 |
| 9 | Marika Asgari | Institute for Astronomy (IfA), University of Edinburgh | Dark Energy; Informatics and Statistics; Galaxies | 30/06/2023 |
| 10 | Matt Auger | Institute of Astronomy, University of Cambridge | Strong Lensing; Galaxies; Active Galactic Nuclei | 31/12/2022 |
| 11 | Manda Banerji | Institute of Astronomy, Cambridge | Galaxies; Active Galactic Nuclei | 31/12/2022 |
| 12 | Oliver Bartlett | The University of Hull, E.A. Milne Centre for Astrophysics | Galaxies; Active Galactic Nuclei; Dark Energy | 30/06/2023 |
| 13 | George Beckett | University of Edinburgh, School of Physics and Astronomy | Dark Energy | 31/12/2023 |
| 14 | Matteo Biancoi | University of Birmingham | Galaxies; Strong Lensing; Active Galactic Nuclei | 30/06/2023 |
| 15 | Asa Bluck | University of Cambridge | Galaxies; Active Galactic Nuclei; Informatics and Statistics | 30/06/2023 |
| 16 | Sarah Bosman | Department of Physics and Astronomy, University College London | AGN; Galaxies; Strong Lensing | 31/03/2022 |
| 17 | Rebecca Bowler | University of Oxford | Galaxies; Active Galactic Nuclei | 31/12/2022 |
| 18 | Umar Burhanudin | University of Sheffield Physics & Astronomy | Transient/ Variable Stars; Informatics and Statistics | 30/06/2023 |
| 19 | Ben Burningham | University of Hertfordshire | Stars, Milky Way and Local Volume | 31/12/2022 |
| 20 | Jonathan Carrick | Lancaster University, Department of Physics | Dark Energy; Informatics and Statistics | 31/12/2023 |
| 21 | Matteo Cataneo | Institute for Astronomy, The Royal Observatory, University of Edinburgh | Dark Energy; Informatics and Statistics; Galaxies | 30/06/2023 |
| 22 | Matthew Chan | Lancaster University, Physics Dept | Galaxies; Dark Energy; Informatics and Statistics | 31/12/2021 |
| 23 | Cressida Cleland | University of Birmingham, School of Physics and Astronomy | Galaxies; Active Galactic Nuclei | 30/06/2023 |
| 24 | Carlos Contreras Pena | University of Exeter, Astrophysics group | Transient/ Variable Stars; Stars, Milky Way and Local Volume; Informatics and Statistics | 31/12/2023 |
| 25 | William Coulton | Institute of Astronomy, Cambridge | Informatics and Statistics; Galaxies | 31/12/2022 |
| 26 | Nicholas Cross | Institute for Astronomy, School of Physics and Astronomy, University of Edinburgh | Transient/ Variable Stars; Stars, Milky Way and Local Volume; Galaxies | 31/12/2023 |
| 27 | Michele De Leo | University of Surrey - Faculty of Engineering and Physical Sciences - Department of Physics | Stars, Milky Way and Local Volume; Galaxies; Informatics and Statistics | 31/12/2022 |
| 28 | Suhail Dhawan | Institute of Astronomy, University of Cambridge | Dark Energy; Strong Lensing; Transient/ Variable Stars | 31/12/2023 |
| 29 | Eleonoa Di Valentino | University of Manchester | Dark Energy | 31/12/2021 |
| 30 | Hugh Dickinson | Open University, School of Physical Sciences | Galaxies; Informatics and Statistics; Transient/ Variable Stars | 31/12/2023 |
| 31 | Jamie Dumayne | Lancaster University | Dark Energy; Transient/ Variable Stars; Informatics and Statistics | 31/12/2022 |
| 32 | Anastasia Efthymiadou | University of Bath | Active Galactic Nuclei; Informatics and Statistics; Galaxies | 31/12/2021 |
| 33 | Azadeh Fattahi | Physics Department, Durham University | Stars, Milky Way and Local Volume; Galaxies | 30/06/2023 |
| 34 | Grigori Fedorets | Queen's University Belfast, Astrophysics Research Centre | Solar System | 31/12/2022 |
| 35 | Stephen Feeney | UCL Department of Physics and Astronomy | Dark Energy; Informatics and Statistics; Transient/ Variable Stars | 31/12/2022 |
| 36 | Max Foxley-Marrable | Institute of Cosmology and Gravitation, University of Portsmouth | Strong Lensing; Transient/ Variable Stars; Dark Energy | 31/12/2021 |
| 37 | Chris Frohmaier | Institute of Cosmology and Gravitation, University of Portsmouth | Transient/ Variable Stars; Galaxies; Dark Energy | 31/12/2021 |
| 38 | Hao Fu | Physics and Astronomy, University of Southampton | Galaxies; Active Galactic Nuclei; Dark Energy | 30/06/2023 |
| 39 | Michael Fulton | Queen's University Belfast, School of Mathematics and Physics - Astrophysics Research Centre | Transient/ Variable Stars; Galaxies; Dark Energy | 31/12/2022 |
| 40 | Carlos Garcia | Department of Physics, University of Oxford | Dark Energy; Galaxies | 30/06/2023 |
| 41 | Jim Geach | University of Hertfordshire | Galaxies; Informatics and Statistics; Active Galactic Nuclei | 31/12/2021 |
| 42 | Francesca Gerardi | University College London Department of Physics and Astronomy | Dark Energy; Galaxies; Informatics and Statistics | 31/12/2022 |
| 43 | Tobias Geron | Physics, University of Oxford | Galaxies | 31/12/2022 |
| 44 | Benjamin Giblin | Institute for Astronomy, University of Edinburgh | Dark Energy; Informatics and Statistics; Galaxies | 31/12/2023 |
| 45 | Paul Giles | University of Sussex / School of Mathematical and Physical Sciences | Dark Energy; Active Galactic Nuclei | 31/12/2023 |
| 46 | Benjamin Paul Gompertz | University of Warwick, Department of Physics | TVS | 31/03/2022 |
| 47 | Steven Gough-Kelly | Jeremiah Horrocks Institute, University of Central Lancashire | Galaxies; Stars, Milky Way and Local Volume; Informatics and Statistics | 30/06/2023 |
| 48 | Claire Greenwell | Department of Physics and Astronomy, University of Southampton | AGN; Galaxies; Informatics and Stats | 31/03/2022 |
| 49 | Rafaela Gsponer | Institute of Cosmology and Gravitation, University of Portsmouth | Dark Energy; Informatics and Statistics | 31/12/2023 |
| 50 | Nigel Hambly | Institute for Astronomy, University of Edinburgh | Stars, Milky Way and Local Volume; Solar System; Informatics and Statistics | 31/12/2022 |
| 51 | Joachim Harnois-Deraps | Liverpool John Moores University | Dark Energy | 31/12/2021 |
| 52 | Philippa Hartley | University of Manchester, Physics & Astronomy | Strong Lensing | 31/12/2021 |
| 53 | Peter Hatfield | University of Oxford | Galaxies; Dark Energy; Informatics and Statistics | 31/12/2021 |
| 54 | Ben Henderson | School of Physics, University of Bristol | Galaxies; Dark Energy; Active Galactic Nuclei | 31/12/2021 |
| 55 | Juan Venancio Hernandez Santisteban | University of St Andrews | AGN; TVS; Stars, Milky Way, and Local Volume | 31/03/2022 |
| 56 | Ryan Jackson | University of Hertfordshire | Galaxies; Active Galactic Nuclei; Informatics and Statistics | 31/12/2021 |
| 57 | Helen Jermak | Astrophysics Research Institute, Liverpool John Moores University | AGN; TVS; Solar System | 31/03/2022 |
| 58 | Michael Johnson | University of Southampton. School of Physics & Astronomy | Transient/ Variable Stars; Stars, Milky Way and Local Volume; Informatics and Statistics | 31/12/2021 |
| 59 | Shahab Joudaki | University of Oxford, Department of Physics | Dark Energy; Informatics and Statistics | 31/12/2022 |
| 60 | Noushin Karim | University of Surrey | Stars, Milky Way and Local Volume; Galaxies; Informatics and Statistics | 30/06/2023 |
| 61 | Brandon Kelly | Astrophysics Research Institute, Liverpool John Moores University | Galaxies; Dark Energy; Informatics and Statistics | 31/12/2021 |
| 62 | Nick Koukoufilippas | University of Oxford, Department of Physics | Dark Energy; Galaxies; Informatics and Statistics | 31/12/2022 |
| 63 | Tereza Kroupova | University of Oxford, Physics Department | Dark Energy; Informatics and Statistics | 31/12/2022 |
| 64 | Pete Kuzma | IfA, University of Edinburgh | Stars, Milky Way and Local Volume | 31/12/2022 |
| 65 | Juliana Kwan | Liverpool John Moores University | Dark Energy; Informatics and Stats | 31/03/2022 |
| 66 | Gavin Lamb | Dept of Physics and Astronomy, University of Leicester | Transient/ Variable Stars | 31/12/2021 |
| 67 | Hermine Landt | Durham University | Active Galactic Nuclei; Informatics and Statistics; Galaxies | 31/12/2022 |
| 68 | Tanmoy Laskar | University of Bath, Department of Physics | Transient/ Variable Stars; Informatics and Statistics; Galaxies | 31/12/2021 |
| 69 | Lynge Lauritsen | The Open University | Galaxies; Informatics and Statistics; Active Galactic Nuclei | 31/12/2023 |
| 70 | Ilin Lazar | University of Hertfordshire | Galaxies; Informatics and Statistics | 31/12/2023 |
| 71 | Boris Leistedt | Imperial College London | Dark Energy; Active Galactic Nuclei; Informatics and Statistics | 31/12/2023 |
| 72 | Pablo Lemos | UCL | Dark Energy; Informatics and Stats; TVS | 31/03/2022 |
| 73 | Lena Lenz | Astrophysics Group, Imperial College London | Informatics and Statistics; Active Galactic Nuclei | 31/12/2021 |
| 74 | Hin Leung | University of St Andrews, School of Physics and Astronomy | Galaxies; Active Galactic Nuclei; Stars, Milky Way and Local Volume | 30/06/2021 |
| 75 | Chieh-An Lin | Institute for Astronomy, University of Edinburgh | Dark Energy | 31/12/2021 |
| 76 | Constance Mahony | University College London, Physics and Astronomy | Dark Energy | 31/12/2022 |
| 77 | Soheb Mandhai | University of Leicester, Dept Physics and Astronomy | Transient/ Variable Stars; Galaxies | 31/12/2021 |
| 78 | Jacob Maresca | University of Nottingham, School of Physics and Astronomy | Strong Lensing | 31/12/2022 |
| 79 | Pol Massana | University of Surrey | Stars, Milky Way and Local Volume; Informatics and Statistics | 31/12/2022 |
| 80 | Dave Morris | Institute for Astronomy, University of Edinburgh | 0 | 31/12/2023 |
| 81 | Sunil Mucesh | Physics and Astronomy - University College London | Galaxies; Dark Energy; Informatics and Stats | 31/03/2022 |
| 82 | Daniel Muthukrishna | University of Cambridge, Institute of Astronomy | Dark Energy; Transient/ Variable Stars; Informatics and Statistics | 31/12/2021 |
| 83 | Seshadri Nadathur | Institute of Cosmology and Gravitation | Dark Energy; Informatics and Statistics | 31/12/2023 |
| 84 | James Nightingale | Durham University, Physics & Astronomy | Strong Lensing; Informatics and Statistics; Galaxies | 31/12/2023 |
| 85 | Elizabeth Noakes-Kettel | University of Hertfordshire | Galaxies; Informatics and Statistics | 31/12/2023 |
| 86 | Roisin O'Connor | The University of Sussex | Galaxies; Informatics and Statistics | 31/12/2023 |
| 87 | Cyrielle Opitom | Institue for Astronomy, The University of Edinburgh | Solar System; Transient/ Variable Stars | 31/12/2023 |
| 88 | David O'Ryan | Lancaster University Observational Astrophysics department | Galaxies; Informatics and Statistics; Stars, Milky Way and Local Volume | 31/12/2022 |
| 89 | James Pearson | University of Nottingham, Astronomy Department | Strong Lensing; Galaxies | 31/12/2022 |
| 90 | James Perry | EPCC, University of Edinburgh | Dark Energy; Informatics and Statistics | 31/12/2023 |
| 91 | Lucas Porth | Astronomy Centre, University of Sussex | Dark Energy; Galaxies; Informatics and Statistics | 31/12/2021 |
| 92 | Matthew Price | Mullard Space Science Laboratory, University College London | Informatics and Statistics; Dark Energy; Strong Lensing | 31/12/2023 |
| 93 | Daniel Pryer | Astronomy Centre, University of Sussex | Dark Energy; Galaxies; Informatics and Statistics | 31/12/2021 |
| 94 | Matt Ratcliffe | Newcastle University CDT Cloud Computing for Big Data | Dark Energy; Informatics and Statistics | 30/06/2023 |
| 95 | Stephen Riggs | Astronomy Centre, University of Sussex | Dark Energy; Galaxies; Informatics and Statistics | 31/12/2021 |
| 96 | James Robinson | Queen's University Belfast, Astrophysics Research Centre | Solar System | 31/12/2023 |
| 97 | Skye Rosetti | Dept of Physics and Astronomy, University of Leicester | Transient/ Variable Stars; Galaxies | 31/12/2021 |
| 98 | Nicholas Ross | Institute for Astronomy, University of Edinburgh | Active Galactic Nuclei; Galaxies; Dark Energy | 31/12/2021 |
| 99 | Agata Rożek | School of Physics & Astronomy, University of Edinburgh | Solar System; Informatics and Statistics | 30/06/2023 |
| 100 | Jaime Ruiz Zapatero | Department of Physics, University of Oxford | Dark Energy; Galaxies | 30/06/2023 |
| 101 | Dan Ryczanowski | University of Birmingham School of Physics and Astronomy | Strong Lensing | 31/12/2023 |
| 102 | Daniela Saadeh | Institute of Cosmology and Gravitation, University of Portsmouth | Dark Energy; Informatics and Statistics | 31/12/2021 |
| 103 | Nikolina Šarčević | Newcastle University / School of Mathematics, Statistics and Physics | Dark Energy; Informatics and Statistics; Galaxies | 31/12/2023 |
| 104 | Robert Schuhmann | Royal Observatory Edinburgh / University of Manchester, School of Physics and Astronomy | Dark Energy; Informatics and Statistics | 31/12/2021 |
| 105 | Aidan Sedgewick | Durham University (CEA) | Galaxies; Informatics and Statistics; Active Galactic Nuclei | 31/12/2021 |
| 106 | Tom Sedgwick | Astrophysics Research Institute, Liverpool John Moores University | Galaxies; Transient/ Variable Stars; Informatics and Statistics | 31/12/2022 |
| 107 | Ashim Sen Gupta | Queen Mary University of London, School of Physics and Astronomy | Dark Energy; Galaxies; Informatics and Statistics | 31/12/2023 |
| 108 | Raphael Shirley | University of Southampton | Galaxies; Transient/ Variable Stars; Informatics and Statistics | 31/12/2022 |
| 109 | Ken Smith | Queen's University Belfast | Transient/ Variable Stars; Dark Energy; Active Galactic Nuclei | 31/12/2021 |
| 110 | Colin Snodgrass | University of Edinburgh, Institute for Astronomy | Solar System; Transient/ Variable Stars | 31/12/2023 |
| 111 | Shubham Srivastav | Astrophysics Research Centre, Queen's University Belfast | Transient/ Variable Stars; Stars, Milky Way and Local Volume; Informatics and Statistics | 30/06/2021 |
| 112 | Benjamin Stölzner | University College London | Dark Energy; Informatics and Stats | 31/03/2022 |
| 113 | Eckhard Sutorius | Institute for Astronomy, University of Edinburgh | Transient/ Variable Stars; Galaxies; Solar System | 31/12/2023 |
| 114 | Elizabeth Swann | Institute of Cosmology and Gravitiation, University of Portsmouth | Transient/ Variable Stars; Dark Energy; Galaxies | 31/12/2023 |
| 115 | Paula Stella Teixeira | University of St Andrews/School of Physics and Astronomy | Stars, Milky Way and Local Volume; Transient/ Variable Stars; Informatics and Statistics | 30/06/2023 |
| 116 | Matthew Temple | IoA, University of Cambridge | Active Galactic Nuclei; Galaxies; Dark Energy | 31/12/2022 |
| 117 | Matthew Thorne | University of Hertfordshire | Galaxies; Active Galactic Nuclei; Informatics and Statistics | 31/12/2022 |
| 118 | Stephen Thorp | Institute of Astronomy, University of Cambridge | Dark Energy; Strong Lensing; Transient/ Variable Stars | 31/12/2022 |
| 119 | Tilman Troester | Institute for Astronomy, University of Edinburgh | Dark Energy; Informatics and Statistics | 31/12/2021 |
| 120 | David Turner | University of Sussex, Department of Physics and Astronomy | Dark Energy; Informatics and Statistics; Galaxies | 31/12/2021 |
| 121 | Edward Upsdell | University of Sussex, Department of Physics and Astronomy | Dark Energy; Galaxies; Informatics and Statistics | 30/06/2023 |
| 122 | Emir Uzeirbegovic | Centre of Data Intensive Research, University of Hertfordshire | Galaxies; Informatics and Statistics | 31/12/2023 |
| 123 | Aprajita Verma | Sub-department of Astrophysics, University of Oxford | Strong Lensing; Galaxies; Dark Energy | 31/12/2021 |
| 124 | Maria Vincenzi | Institute of Cosmology and Gravitation, University of Portsmouth | Dark Energy; Transient/ Variable Stars | 31/12/2021 |
| 125 | Stelios Voutsinas | Univesity of Edinburgh | Informatics and Statistics; Transient/ Variable Stars; Active Galactic Nuclei | 31/12/2023 |
| 126 | Aaron Watkins | University of Hertfordshire and LJMU | Galaxies; Informatics and Statistics | 31/12/2022 |
| 127 | Daniel Philip Weatherill | University of Oxford - Department of Physics (particle physics) | Dark Energy; Galaxies; Informatics and Stats | 31/03/2022 |
| 128 | Niraj Welikala | Institute for Astronomy/ University of Edinburgh | Galaxies; Solar System; Informatics and Statistics | 31/12/2021 |
| 129 | Imogen Whittam | Oxford Physics | Active Galactic Nuclei; Galaxies | 31/12/2023 |
| 130 | Josh Wilde | The Open University / School of Physical Sciences | Strong Lensing; Active Galactic Nuclei; Dark Energy | 31/12/2021 |
| 131 | Roy Williams | University of Edinburgh, Royal Observatory | Transient/ Variable Stars; Informatics and Statistics; Active Galactic Nuclei | 31/12/2022 |
| 132 | Tom Wilson | University of Exeter, (Astro)physics department | Informatics and Statistics; Stars, Milky Way and Local Volume; Transient/ Variable Stars | 30/06/2023 |
| 133 | Bill Wright | Queen Mary University of London, School of Physics and Astronomy | Dark Energy | 30/06/2023 |
| 134 | David Young | Queen's University Belfast, Astrophysics Research Centre | Transient/ Variable Stars; Solar System | 31/12/2023 |
| 135 | Rokas Zemaitis | Institute of Astronomy, University of Edinburgh | Stars, Milky Way and Local Volume | 31/12/2021 |
| 136 | Junkai Zhang | University of Bath, Department of Physics | Galaxies; Strong Lensing; Active Galactic Nuclei | 31/12/2022 |
| 137 | Yirui Zheng | School of Physics and Astronomy at the University of St Andrews | Galaxies; Active Galactic Nuclei; Informatics and Statistics | 30/06/2023 |