Peter Behroozi
Associate Professor

behroozi@arizona.edu

Utilizes machine learning to measure links between dark matter, galaxy formation, and the growth of supermassive black holes. His research involves generating simulated universes for millions of different physical models, with the aim of constraining which physics best describes current observations new observations. 

Gurtina Besla
Associate Professor

gbesla@arizona.edu

Create detailed simulations of galaxies like the Milky Way and its neighbors and utilize large volume cosmological simulations in order to understand the nature of dark matter and the physics of galaxy evolution. Dr. Besla also created and directs the TIMESTEP program which offers a seminar series and internship opportunities for UArizona undergraduates in STEM fields.

Chi-kwan (CK) Chan
Associate Astronomer

chanc@arizona.edu

Dr. Chan’s leads the Event Horizon Data and Science group to develop simulations and theories that enable us to explain the complex dynamics of black holes, the birth and death of stars, the formation of galaxies, and even the expansion of the cosmos itself, ultimately advancing our knowledge of the Universe.

Kate Daniel
Associate Professor

kjdaniel@arizona.edu

Research description

Tim Eifler
Associate Professor

timeifler@arizona.edu

Dr. Eifler uses statistical data analysis and machine learning to extract the cosmological information from a variety of ground and space-based missions such as the Dark Energy Survey, the Dark Energy Spectroscopic Instrument, the Rubin Observatory, the NASA SPHEREx explorer satellite, the CMB-S4 experiment, and the Nancy Grace Roman Space Telescope.

Carl Fields
Assistant Professor

carlnotsagan@arizona.edu

Dr. Fields leads computational and nuclear astrophysics of massive stars and their explosions. Using state-of-the-art computational models, Dr. Fields connects simulations to predictions for astronomical observables. 

Shuo Kong
Assistant Professor

shuokong@arizona.edu

Shuo Kong leads research to understand the role of magnetic fields in molecular cloud and star formation. I use computational tools to model the interplay between magnetic fields and the interstellar medium. I use machine-learning techniques to compare the model with observations so as to constrain the model.

Kaitlin Kratter
Associate Professor

kkratter@arizona.edu

Dr. Kratter studies the formation of stars and planets. She uses large-scale computer simulations to study astrophysical fluid dynamics, with an eye towards predicting observational signatures of newborn stars and planets embedded in circumstellar material.arch description

Elisabeth Krause
Associate Professor

krausee@arizona.edu

Elisabeth Krause combines theory and data analysis tools to optimally combine information from different data sets to shed light on the mysterious nature of dark energy and the beginning of our Universe, cosmic inflation. Her research group at UA is currently involved in the Dark Energy Survey, the Rubin Observatory’s Legacy Survey of Space and Time, the SPHEREx mission, and the Roman Space Telescope.

Mathieu Renzo
Assistant Professor

mrenzo@arizona.edu

Mathieu Renzo studies the evolution, death, and afterlife of massive stars, which can explode as supernovae or collapse to black holes. Unlike the Sun, these stars tend to live with another stellar companion, orbiting each other and interacting through violent mass exchanges that we can barely simulate with computers. These binary interactions profoundly modify these massive stars, the impact they have on their host galaxies throughout their lives, how they explode and whether they ultimately end up producing detectable gravitational-waves emission.

Vasileios Paschalidis
Associate Professor

vpaschal@arizona.edu

Ddr. Paschalidis’ research spans a range of topics in gravitational physics and theoretical astrophysics. The ultimate goal of my work is to understand strong field gravitation and solve long-standing astrophysical puzzles such as the nature of the progenitors of short gamma-ray bursts, the origin of X-shaped radio galaxies, the nature of the equation of state at and above the nuclear saturation density, probe fundamental physics beyond the standard model, the way through which planets may form around isolated pulsars, to name a few.

Andrew Youdin
Professor

youdin@arizona.edu

Dr. Andrew Youdin’s research focuses on the formation and evolution of planetary systems. He employs various techniques, including analytic derivations, statistical data analysis and detailed numerical simulations. Current research topics include planetesimal formation, giant planet formation, exoplanet statistics and atmospheres, circumbinary dynamics, and accretion disks.