Preetum NakkiranPost-Doctoral Fellow
Preetum Nakkiran is a postdoc at UCSD, in Misha Belkin’s group.
He obtained his PhD in the CS Theory group at Harvard, advised by Boaz Barak and Madhu Sudan. He did his undergraduate work in EECS at UC Berkeley.
He works on the empirical theory of machine learning: aiming to discover and characterize empirical behaviors, if not prove them formally. His past work includes understanding generalization in deep learning, robustness, double-descent, and overparameterization.