Education & Professional Experience
Ph.D.: University of Toronto (Canada), Astronomy & Astrophysics (2004)
B.Sc.: University of British Columbia (Canada), Physics and Astronomy (1999)
Associate Professor, Carnegie Mellon University, 2016–
Assistant Professor, Carnegie Mellon University, 2010–16
Post-doctoral Research: Harvard University, 2007–10
Post-doctoral Research: Princeton University, 2004–07
Research Interests
I work on computational and theoretical cosmology and astrophysics. My research involves the development and application of numerical simulations to model and interpret the observable University. In cosmology, I work on complex problems involving the gas, stars, galaxies, quasars, and clusters of galaxies that provide information about the underlying dark matter and dark energy. In astrophysics, I am interested in the dynamics of stellar systems and the mergers of compact objects that produce gravitational waves. I also collaborate with computer scientists and statisticians to apply modern AI/ML approaches to improve multi-wavelength data analysis and numerical simulations. For example, we are applying Bayesian Deep Learning to map the dark matter in galaxy clusters. I am a member of the Atacama Cosmology Telescope (ACT) and Simons Observatory (SO) Collaborations.
Recent Publications
Alan Hsu et al, Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling, arXiv:2410.02857
Dipto Mukherjee et al, Examining the Effects of Dark Matter Spikes on Eccentric Intermediate-mass Ratio Inspirals using N-body Simulations, DOI: 10.1093/mnras/stae1989
Dipto Mukherjee et al, Close encounters of the interstellar kind: exploring the capture of interstellar objects in near-Earth orbit, MNRAS, 908, 921
Matthew Ho et al, The dynamical mass of the Coma cluster from deep learning, Nat Astron (2022)
Nianyi Chen et al, Patchy Kinetic Sunyaev-Zel'dovich Effect with Controlled Reionization History and Morphology, Astrophys. J., 943, 138
Hy Trac et al, AMBER: A Semi-numerical Abundance Matching Box for the Epoch of Reionization, Astrophys. J., 927, 186 (2022)
Yizhou He et al, A Hydro-particle-mesh Code for Efficient and Rapid Simulations of the Intracluster Medium, Astrophys. J., 925, 134 (2022)
Matthew Ho et al, Approximate Bayesian Uncertainties on Deep Learning Dynamical Mass Estimates of Galaxy Clusters, Astrophys. J., 908, 204 (2021)
The Simons Observatory Collaboration, The Simons Observatory: Science goals and forecasts, JCAP 02, 056 (2019)
Hy Trac et al, SCORCH I: The Galaxy-Halo Connection in the First Billion Years, Astrophys. J., 813, 54 (2015)
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ORCID Researcher ID