About Me
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.
Interests
- Observational Astronomy
- Gravitational Wave
- Astrostatistics
- Machine Learning
Education
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PhD in Physics, 2025
Massachusetts Institute of Technology
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BSc in Physics & Astronomy, 2019
University of Rochester
