37-626f
I’m a Ph.D. Candidate at the MIT Kavli Institute for Astrophysics and Space Research. I’m passionate about studying the formation and evolution of structure in the universe. My research involves developing machine learning techniques to analyze large cosmological simulations and observational data. Currently, I’m working with Prof. Lina Necib at MIT. From August 2022 to January 2023, I was a Pre-Doctoral Researcher at the Center for Computational Astrophysics (CCA) at the Simons Foundation, collaborating with Prof. Rachel Sommerville in the Galaxy Formation group.
Projects I’m working on:
1. Inferring Dark Matter Density Profiles: Applying graph-based simulation-based inference to infer the dark matter density profiles of dwarf galaxies [arxiv].
2. Generating Galaxy Merger Trees: Generating galaxy merger trees using recurrent flow-based generative models
3. Characterizing Milky Way Accretion History: Using kinematics of accreted stars to characterize the galaxy accretion history of the Milky Way.
4. Constructing Synthetic Gaia DR3 Surveys: Creating synthetic Gaia DR3 surveys from Milky Way-like galaxies in the FIRE simulation.
1. Inferring Dark Matter Density Profiles: Applying graph-based simulation-based inference to infer the dark matter density profiles of dwarf galaxies [arxiv].
2. Generating Galaxy Merger Trees: Generating galaxy merger trees using recurrent flow-based generative models
3. Characterizing Milky Way Accretion History: Using kinematics of accreted stars to characterize the galaxy accretion history of the Milky Way.
4. Constructing Synthetic Gaia DR3 Surveys: Creating synthetic Gaia DR3 surveys from Milky Way-like galaxies in the FIRE simulation.