Anay Mehrotra
Anay is a Motwani Postdoctoral Fellow at Stanford, hosted by Amin Saberi. He completed his Ph.D. at Yale University, where he was advised by Amin Karbasi and Manolis Zampetakis.
His research focuses on machine learning in settings where standard assumptions fail, especially with missing or selectively observed data and in the foundations and safety of generative AI. More broadly, he is interested in learning theory, causal inference, theoretical machine learning, and AI safety.
His work has received the Best Paper Award at COLT, been featured in WIRED, and received the Sri Binay Kumar Sinha Award from IIT Kanpur. As an undergraduate, he represented IIT Kanpur at the ICPC World Finals. He co-organizes the REFORM reading group at Stanford with Amin Saberi and Grigoris Velegkas.