 Manda BanerjiShe/Her I am interested in understanding galaxy formation and evolution using statistical samples and multi-wavelength surveys. My past research has focused on topics as diverse as galaxy photometric redshifts and spectral energy distribution modelling, galaxy morphologies and the co-evolution of galaxies and their constituent supermassive black holes. |
 Rebecca BowlerShe/Her Rebecca works on the evolution of high-redshift galaxies (z >= 4). Her previous experience is in using ground-based optical and near-infrared data to search for luminous sources up to z = 10 and to compute their evolving luminosity functions. She is co-lead of the Photo-z and SED fitting group within the Galaxies group, where she works on simulating high-z galaxy populations that will be found from combing Rubin with Euclid data |
 W. Niel BrandtHe/Him W. Niel Brandt is a Professor in the Department of Astronomy & Astrophysics at Penn State University. Brandt uses a wide variety of astronomical facilities to study the demographics, physics, and ecology of active galaxies and other cosmic sources. He is an author of more than 600 research papers and leads a small research group including postdoctoral researchers, graduate students, and undergraduate students. Brandt has served as the Chair/Co-Chair of the AGN SC for many years, and has also served in several other Rubin LSST positions. |
 Sarah BroughShe/Her My overriding interest is galaxy evolution as a function of environment. I particularly focus on optical observations at low redshift. Within that I have special interest in Brightest Cluster Galaxies and low surface brightness astronomy - particularly intracluster/intragroup light and tidal features. Current Co-Chair of Galaxies Low Surface Brightness Working Group (Galaxies liaison in Rubin Survey Cadence Optimization Committee, Australian Science Lead for Rubin Observatory) |
 Ricardo DemarcoHe/Him Interested in the study of galaxies, clusters of galaxies and large-scale structures in the universe, particularly in the context of galaxy formation and evolution. Most of the work done so far has been focused on high-redshift (z>0.8) galaxies in high-density environments. The main scientific driver of this is to understand the star formation quenching process in galaxies (nature vs. nurture). More recently, I have been extending my research to lower redshift clusters of galaxies. |
 Benne HolwerdaHe/Him The combination of an LSST deep drilling field on the Chandra Deep Field South and HI observations in this field by the MeerKAT radio telescope opens up the possibility for synergy science using information from both: evolution in the Tully-Fischer relation, gas supply and galaxy properties etc. Member since 2006. Attended and spoke at Galaxies SC meeting in Oxford in 2016. Gave the Galaxies SC presentation at the 2006 LSST All-Hands Meeting (at SLAC, before it was always in Tucson). Contributed a figure and section to the LSST Science Book Galaxies chapter. |
 Sugata KavirajHe/Him My main interests are in galaxy formation and evolution. My work combines multi-wavelength survey data (from UV to radio) with cosmological simulations and machine-learning techniques for the exploitation of large surveys (all ‘in house’). My work has covered a wide range of topics, such as the formation of elliptical galaxies, extra-galactic star clusters, the role of mergers in influencing galaxy evolution, the impact of AGN and supernova feedback and the evolution of dwarf galaxies. I have been a member of the Galaxies SC since 2015. |
 Brant RobertsonHe/Him My scientific interests include theoretical topics related to galaxy formation, dark matter, hydrodynamics, machine learning, and numerical simulation methodologies. In the context of Rubin Observatory and LSST, I have been interested in applying learning techniques to analyze and classify the deep and wide-area images that LSST will provide. The primary scientific motivation is to understand the connection between evolving galaxy morphologies, the growth of cosmological structure, and cosmic environment. |
 John StottHe/Him My research focuses on the evolution of galaxies with environment, encompassing both cluster galaxy evolution and the reasons for the peak in star formation rate seen at cosmic noon. I plan to use LSST to study the evolution of galaxies within clusters out to z=1.5 and beyond, with the kind of representative, evolution matched, cluster mass samples that only LSST can provide. I have also recently been using novel machine learning and computer vision techniques to detect galaxy clusters in preparation for LSST. |
 Ann ZabludoffShe/Her All branches of astronomy and astrophysics intrigue me, and my work has encompassed observational surveys and techniques, theory, and instrument design. |
