Research Interests
Hello, I'm
Senior Researcher at Google DeepMind
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.
Interested in learning more about RL? Check out this RL study guide I put together. This cheat sheet is the product of my own notes on different RL methods through personal study, distilled with the help of Claude Opus 4.6.
arXiv preprint arXiv:2507.06261
Technical report introducing Gemini 2.5, featuring advanced reasoning capabilities, multimodality, extended context windows, and next-generation agentic capabilities.
View Publication →US Patent 12,397,067
View Publication →ACM Designing Interactive Systems Conference (DIS)
This paper discusses the design of tools tailored for reinforcement learning agents, enhancing their interaction capabilities and enabling more effective human-robot collaboration.
View Publication →ACM International Conference on Intelligent Virtual Agents (IVA)
Focuses on inferring design intentions to improve collaboration between humans and virtual co-design agents, enabling more intuitive and effective design processes.
View Publication →Advanced Materials
Introduces amorphous quantum nanomaterials with potential applications in various technological fields, exploring novel material properties and synthesis methods.
View Publication →International Conference on Design Computing and Cognition (DCC) — Best Paper Award
Best Paper Award. Presents a tangible user interface facilitating collaborative design processes between humans and computers.
View Publication →Research Paper
Explores methods to prevent catastrophic forgetting in neural networks during online learning scenarios.
View Publication →A two-wheeled differential drive robot that is controlled via a moblile bluetooth terminal. We wrote a C program which interfaced with an NXP development board to receive UART communications and output PWM signals to each motor. We also deployed a python script onto a raspberry pi which read incoming serial messages from bluetooth and relayed it to a the NXP board.
A text-based Poker Game and Poker AI in OCaml. During each round, the bot ran hundreds of simulations taking into account the current river, user's betting strategy, pot odds, etc. and made a decision to call, raise, check, or fold.
Google DeepMind
2025 — Present
Working on Gemini, focusing on reinforcement learning and post-training to improve coding abilities and software engineering capabilities.
2021 — 2024
Worked on building LLMs for coding in Google Labs. Previously worked on ads optimization and recommendations, developing machine learning models for improved ad targeting.
Microsoft Azure
2019 — 2021
Worked on research economics and machine learning problems for Azure cloud compute. Reported to Patrick Hummel, Senior Director of Economics.
The Blackstone Group
Summer 2018
Interned at one of the world's leading investment firms.
Cornell University
2015 — 2019
Studied Computer Science, Electrical Engineering, and Business. Undergraduate researcher in the Human Robot Collaboration and Companionship Lab under Guy Hoffman.
Spackenkill High School
2011 — 2015
Salutatorian. President of Science Olympiad. Co-captain of the Math Team and Mock Trial.