Hi, I’m Yash. I’m an Applied Research Scientist based in London, working at the intersection of sequential decision-making, reinforcement learning, and emerging cryptographic systems. Lately, I’ve been exploring zero-knowledge proofs and distributed ledger technologies in depth. Previously, I served as an Assistant Professor in the Department of Cognitive Science and Artificial Intelligence at Tilburg University. Before that I was a post-doctoral fellow at the RLAI lab at University of Alberta with Mike Bowling and Martha White. I completed my PhD at the University of Amsterdam, where I was part of the AMLab and Whirl@Oxford under the supervision of Shimon Whiteson and Frans Oliehoek.

Previously, I developed planning and learning algorithms for active perception for tracking people in multi-camera networks. Consequently, I am involved and interested in (deep) reinforcement learning, submodular optimization and information theory. I am also interested in applying learning/planning algorithms for developing systems that can help humans and computers to collaborate to accomplish tasks that are typically considered challenging.

Before starting my Phd program, I worked as a senior developer at Capital One Labs, NY. I recieved a Master of Science degree in Electrical Engineering from Columbia University in 2012. I interned with eBay during the summer of 2011. Before that, I received a Bachelor of Technology degree in Electronics Engineering from VNIT, Nagpur in 2010.