Radha Mastandrea

I am a PhD student at UC Berkeley. My research lies in the intersection of fundamental physics and machine learning. I am currently interested in applying various types of neural networks to model-agnostic anomaly detection on particle collision data collected from the LHC.

Before studying at Berkeley, I completed graduate coursework in Physics at the University of Cambridge funded by a Marshall Scholarship, preceded by a Bachelor’s degree (in guess what) at MIT.

Outside of my research, I am an APS DSECOP Fellow, where I develop coursework that integrates data science and machine learning with early-stage undergraduate physics curriculum. You can view the fellows’ work at this repository.