I want to understand how machines can learn useful representations of the world. My focus is on learning representations a) in an unsupervised manner, and b) by incorporating discrete or combinatorial structure.

I am a PhD student at MIT CSAIL and LIDS advised by Stefanie Jegelka and Suvrit Sra. Previously I was an undergraduate in mathematics at the University of Warwick where I worked with Robert MacKay on discrete probability.

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Review service: NeurIPS, ICLR, ICML, COLT, JMLR

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