Update: I have graduated and am now a postdoctoral scholar at Stanford working with Jure Leskovec.

I obtained my PhD from MIT CSAIL and LIDS advised by Stefanie Jegelka and Suvrit Sra, and completed my undergraduate studies in mathematics at the University of Warwick working with Robert MacKay on probability theory.

I am interested in structured learning, especially in the context of scalable (e.g., self-supervised) learning and learning on graphs.


Core review service: NeurIPS, ICLR, ICML, JMLR

Other review service: COLT, CVPR, ECCV, TMLR

Teaching: 6.867 machine learning (graduate level) – MIT fall 2021