I am a second-year PhD student and NSF Graduate Research Fellow in the Astronomy department at Harvard working with Prof. Doug Finkbeiner. My current research involves developing statistical technqiues for spectral component separation and applying them to Lyman-Alpha Emitter galaxies using the Dark Energy Spectroscopic Instrument (DESI). My research interests broadly involve astrostatistics and applications of statistical & machine learning for galaxies & Type Ia supernovae.

In 2022, I graduated from the University of Cambridge as a Churchill Scholar with an M.Phil in Machine Learning and Machine Intelligence, where my thesis was on variational inference applications to Type Ia supernova light curve fitting.

In my work, I strive to be equal parts astrophysicist and data scientist.