Resume
Academic Achievements
- - Publications: 'On the Query Complexity of Verifier-Assisted Language Generation' and many more
- - Conference Presentations: ICLR 2025 (oral) for 'Self-Improvement in Language Models: The Sharpening Mechanism'
- - Projects: Phi-4 Technical Report, Phi-3 Technical Report
Research Experience
- - Researcher at OpenAI
- - Researcher at Microsoft Research NYC
- - Research on the theory and application of deep learning
Education
- - Ph.D. in Computer Science from Princeton University (Graduated in 2020), advised by Prof. Elad Hazan
- - B.S. in Computer Science from Yale University (Graduated in 2015)
- - Grew up in Toronto
Background
- - Research Interests: Theory and science of deep learning and its adjacent fields
- - Professional Field: Temporality, dynamical systems, and control; the 'microstructure' of deep learning
- - Brief Introduction: Currently working on frontier-scale research at OpenAI. Previously, a researcher at Microsoft Research NYC.
Miscellany
- No additional information on personal interests or hobbies