Experience
A concise career overview.
Experience
- 2015–present
Research Director
Google DeepMind · London, UK
- Gemini Omni · Co-lead (2025–present). Co-leading the delivery of the Gemini Omni model family, beginning with video generation and conversational editing.
- Veo · Co-lead (2024–2025). Led strategy and execution across Veo 1, 2, and 3, including large-scale training, architecture, data, and evaluation.
- Gemini · Core contributor (2022–2024). Helped establish multimodal image and video generation capabilities, vision infrastructure, and scaling analyses.
- Gato · Tech lead and core contributor (2021–2022). Led technical development and built foundational data infrastructure for the multi-modal, multi-embodiment generalist agent.
- Distributed reinforcement learning · Lead and core contributor (2017–2021). Pioneered actor–learner systems at scale and helped create Acme, Reverb, and Launchpad.
- 2014
Research Engineer
dMetrics · New York, NY
- Built natural-language processing and semantic-search systems for text understanding and research workflows.
- 2012–2013
Data Analysis and Algorithms Engineer
Thunder Wake · New York, NY
- Developed natural-language processing and search algorithms for AppSnatcher, an iOS App Store search engine.
Education
- 2013–2015
- 2005–2012
BA, Mathematical Economics
Brown University · Providence, RI
Selected talks
- 2024
Multimodal Foundation Models
Advanced Course on Data Science & Machine Learning
- Four-part lecture series.
- 2023
Multimodal Foundation Models
International Conference on Machine Learning, Optimization and Data Science
- Keynote speaker.
- 2022
Gato and Scaling Generalist Agents
NeurIPS workshops
- Invited speaker and panelist at the Foundation Models for Decision Making and Robot Learning workshops.