I'm currently a researcher at Google DeepMind working on reinforcement learning and post-training to improve Gemini's coding & software engineering capabilities.
Prior to DeepMind, I was a software engineer at Google working on ads optimization and recommendations. Before that, I was a software engineer and data scientist at Microsoft, working on research economics and machine learning problems related to Microsoft Azure. During my time there, I had the great fortune of working with and reporting to the Senior Director of Economics in Azure, Patrick Hummel. I've also previously interned at The Blackstone Group and as a researcher at Cornell Tech.
I attended Cornell University from 2015–2019 where I studied Computer Science, Electrical Engineering, and Business. While at Cornell, I was an undergraduate researcher in the Human Robot Collaboration and Companionship Lab under the supervision of Guy Hoffman. My research focused on studying side-by-side collaborative design between humans and intelligent agents, and I co-authored several publications including one which won Best Paper at the 2018 Design Computing and Cognition conference.
I live in New York City and grew up in the Hudson Valley. I also enjoy cooking—I've even taken classes at the Culinary Institute of America—lifting weights, and eating dinner at Don Angie.