Current Brinson Prize Fellows

Anirudh (Ani) Chiti

Ph.D., Physics, Massachusetts Institute of Technology
Brinson Postdoctoral Fellow, University of Chicago

Host Institution: University of Chicago, Kavli Institute for Cosmological Physics (KICP) (Year One), Stanford University, Kavli Institute for Particle Astrophysics and Cosmology (KIPAC) (Years Two and Three)

Year Awarded: 2024 (beginning in fall 2024)

Project Title: Uncovering the Ancient Milky Way

Ani Chiti studies how the earliest elements, stars, and galaxies evolved in the first billion years of the universe. He performs this research by identifying, mapping, and investigating the chemical composition of nearby ancient stars and galaxies, in an approach known as Galactic Archaeology. As a Brinson Prize Fellow, he will be leading a large imaging program with a newly installed imaging filter on the Dark Energy Camera. This program will allow the identification of ancient stars in our Galaxy over a quarter of the southern sky, to map the distribution of ancient stars in the Milky Way and the neighboring Magellanic Clouds. This unique dataset will enable targeted studies of the composition of these stars to trace the early chemical enrichment of the local universe by the first stars, the identification of substructures of ancient stars in our Galaxy to trace its formation, and the discovery of ancient stars in the outskirts of the smallest galaxies to potentially probe the distribution of dark matter that they inhabit. He anticipates scaling several of these analysis techniques to data from the next-generation Rubin/LSST imaging survey.

Nathaniel Starkman

Ph.D., Astrophysics, University of Toronto (expected)

Host Institution: Massachusetts Institute of Technology (MIT)

Year Awarded: 2024 (beginning in fall 2024)

Project Title: Charting the Dark Matter with Extragalactic Streams & Machine Learning

Nathaniel Starkman studies the dynamics of star clusters orbiting galaxies to understand the distribution and nature of dark matter. When an orbiting group of stars is torn apart by its host galaxy’s gravity, the group’s debris forms long structures called stellar streams that are exquisitely sensitive to the gravity of the galaxy. Since much of this gravity is sourced by the dark matter, by studying stellar streams we can map the dark matter in a galaxy. As a Ph.D. candidate at the University of Toronto, Starkman extended the detected lengths of stellar streams, developed cutting edge machine learning algorithms to characterize and model stellar streams, and refined models of the dark matter in the Milky Way. In addition, Starkman constrained models of exotic dark matter and found new ways to study the earliest light in the universe. As a Brinson Prize Fellow at the Massachusetts Institute of Technology, Starkman will extend his stellar stream research beyond the Milky Way to a cosmological context, characterizing stellar streams of distant galaxies to map their dark matter. Combining his cutting-edge methods with forthcoming datasets from Rubin Observatory, Starkman will map thousands of stellar streams and galactic dark matter distributions and test cosmological theories of the nature of dark matter and the formation of galaxies.

James Sullivan

Ph.D., Astrophysics, University of California, Berkeley (expected)

Host Institution: Massachusetts Institute of Technology (MIT)

Year Awarded: 2024 (beginning in fall 2024)

Project Title: Galaxies Remember Inflation: Early Universe Physics with Redshift Surveys

Jamie Sullivan studies the large-scale structure of the Universe, and how observational probes of this structure inform fundamental physics. He works to understand the formation of large-scale structure and how observed galaxies trace it through both analytical and numerical techniques. As a Ph.D. student, Department of Energy Computational Sciences Graduate Fellow, and Office of Science Graduate Student Researcher at the University of California, Berkeley, Jamie developed methods for more optimally extracting information from cosmological galaxy survey summary statistics. Currently, his research is oriented toward answering questions about the earliest moments of the Universe—those that are well-modeled by cosmic inflation. As a Brinson Prize Fellow at the MIT Center for Theoretical Physics, Jamie will build tools for learning more about the early Universe from galaxy surveys and apply these tools to upcoming observational data, including from space-based observatories.

Daniel Gilman

Ph.D., Physics, University of California, Los Angeles (UCLA)

Postdoctoral Scholar, University of Toronto

Schmidt AI in Science Fellow, University of Toronto

Host Institution: University of Chicago, Department of Astronomy and Astrophysics

Year Awarded: 2023

Project Title: Detecting Concentrations of Dark Matter around Distant Galaxies Using Gravitational Lensing

Daniel Gilman strives to understand the nature of dark matter, an enigmatic substance of unknown origin and particle properties. The force of gravity mediates the only known connection between dark matter and the small fraction of the Universe we can observe and interact with. In his research, Gilman uses the gravitational connection between light and dark matter through an effect called gravitational lensing in which light is deflected by gravitational fields. In a particular case referred to as strong lensing, a foreground galaxy and the dark matter surrounding it bend light from a distant background source in such a way that the source becomes highly magnified and multiply imaged. As a Ph.D. student at UCLA, Gilman led the development of an analysis framework to test theories of dark matter by simulating a particular kind of strong lens system referred to as a quadruply-imaged quasar. As a postdoc at the University of Toronto, he and his collaborators expanded this analysis pipeline to simulate how strong lenses would appear in a variety of dark matter theories with unique particle physics predictions. As a Brinson Prize Fellow at the University of Chicago, Gilman is refining the analysis techniques he developed to incorporate additional information from spectacular, highly-magnified lensed arcs that often encircle the main deflector in a strong lens system. Combining the new analysis techniques with forthcoming data from the James Webb Space Telescope, Gilman performs stringent tests of the concordance cosmological model of cold dark matter and explores alternative hypotheses for the nature of dark matter that, if confirmed, would overthrow cold dark matter and require new physics.

Justin Myles

Ph.D., Physics, Stanford University

Host Institution: Princeton University, Department of Astrophysical Sciences

Year Awarded: 2023

Project Title: Combining Large Galaxy Survey Datasets to Stress-test and Refine Cosmological Models

Justin Myles studies observations of galaxies and clusters of galaxies to test models of the past and future development of the Universe. As an observer, Myles combines multiple forms of data ranging from visible light to X-rays to better understand galaxies and the hot clouds of gas they inhabit. In his Ph. D. work at Stanford University, he developed ways to use spectroscopic observations of galaxies to improve measurements of weak gravitational lensing and of galaxy clusters. As a Brinson Prize Fellow, Myles explores questions including, “How can we achieve competitive precision on cosmological parameters from galaxy clusters identified in imaging surveys?” “How can we design efficient follow-up observing campaigns to maximize the utility of large cosmology surveys?” and most broadly, “How can we improve the modeling of galaxy survey data?” His research sits at the interface of survey astronomy based on observations of large swaths of the sky and designing targeted observations to resolve challenges that emerge from survey data.

David Setton

Ph.D., Physics, University of Pittsburgh

Host Institution: Princeton University, Department of Astrophysical Sciences

Year Awarded: 2023

Project Title: Searching for Distant Massive Galaxies Using JWST Data

David Setton’s research focuses on constraining the physical process that causes the most massive galaxies in the Universe to stop making new stars. He does this by looking to great distances with some of the world’s largest observatories to study galaxies right after they finished their last epoch of star formation, catching them in the act of “quenching.” David uses multi-wavelength observing facilities to study the physical properties of the stars, gas, and supermassive black holes in these galaxies. In his Ph.D. work at the University of Pittsburgh, David measured the structures of “post-starburst” galaxies from the SQuIGGLE sample and used spectra from the Dark Energy Spectroscopic Instrument Survey to trace the cosmic evolution in the fraction of quenching galaxies. As a Brinson Prize Fellow at Princeton University, David extends this work using novel samples from the Prime Focus Spectrograph Survey, using the novel instrument on the Subaru telescope to identify and characterize the population of quenching galaxies during the peak of the star formation history of the Universe.