I am a Schmidt AI in Science Fellow at the Enrico Fermi Institute, University of Chicago. I received my Ph.D. in physics from Harvard in 2023, M.A. in physics from Harvard in 2020, and B.S. in physics and in mathematics (double major) from MIT in 2019. See my CV.

My research focuses on understanding the physics of partons, aiming to answer outstanding questions about the early universe that are rooted in Quantum Chromodynamics (QCD) and beyond the Standard Model (BSM) physics: what are the mechanisms of parton hadronization, how are partons modified in nuclear matter, and what dynamics generated the cosmological baryon asymmetry. To accomplish this, I perform precise measurements of high energy electron-positron (ALEPH/DELPHI experiment), proton-proton, and lead-lead (ATLAS experiment) collisions. I have pioneered first of their kind measurements of those data by building custom transformer models for solving complex combinatorial problems, developing loss functions based on contrastive learning for anomaly detection, and conducting neural likelihood estimation for detector effect unfolding. I have also contributed extensively to hardware development for fast trigger systems, including key roles in building the FPGA-based trigger for the ATLAS New Small Wheel Micromegas muon detector and in demonstrating in-pixel signal processing with edge AI/ML based data filtering for rad-hard pixel detector ASICs. I perform this work at the CERN and Fermi National Accelerator Laboratories.