Hello! I am a PhD student in astrophysics at the Massachusetts Institute of Technology. I am interested in developing and applying Bayesian statistical technique and machine learning to gravitational-wave and observational astronomy.
At MIT, I work with Dr. Erik Katsavounidis on detection and characterization of GW sources using convolutional neural networks. I also work with Dr. Michael Coughlin on modelling and subtracting non-linear noise in GW detectors with neural networks.
I received my BSc in Physics & Astronomy from the University of Rochester in 2019. As an undergrad, I worked with Prof. Segev BenZvi and Prof. Regina Demina on IceCube SN neutrino simulation, computational cosmology, and SNe spectra classification.
PhD in Physics, 2025
Massachusetts Institute of Technology
BSc in Physics & Astronomy, 2019
University of Rochester
Outside of physics, I love playing video games (Smash Bros, Dota 2), soccer (goalie) and ultimate frisbee (cutter), boxing, weight lifting, rock climbing, urban exploring, and all forms of street dancing (I am an amateur b-boy, or break dancer).
Ask me about: traveling, break dance, karaoke, Asian food, my five dogs, Boston, Vietnam.