I have started at FAR! During my PhD, I was fortunate to be advised by Thorsten Joachims and supported by a scholarship from Open Philanthropy. I graduated from Harvard College in 2016, then worked as a software engineer doing antifraud for Sendwave. I have previously interned at Microsoft Research studying recommender systems, UC Berkeley’s Center for Human-Compatible AI researching inverse reinforcement learning, and was a summer fellow at the Centre for the Governance of AI at the University of Oxford.

Among many other things, I am interested in sequential decision-making, human/AI collaboration, and how we get preference information into LLMs.