Scholar
Michael Y. Li
Google Scholar ID: N1Gjo24AAAAJ
Ph.D. Student, Stanford University
Citations & Impact
Citations
193
H-index
5
i10-index
4
Publications
11
Co-authors
6
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'Automated Hypothesis Validation with Agentic Sequential Falsifications' (ICML, 2025), 'BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery' (NeurIPS Workshop on Scaling Environments for Agents, 2025), 'CriticAL: Model Criticism Automation with Language Models' (NeurIPS Statistical Foundations of LLMs and Foundation Models Workshop, 2024), and more.
Research Experience
- Has conducted research at Microsoft Research and Two Sigma; currently focuses on enhancing the reasoning capabilities of large language models, previously worked on various topics in statistical machine learning such as Sequential Monte Carlo, variational inference, Gaussian processes, and point processes.
Education
- Undergraduate degree from Princeton (summa cum laude, Phi Beta Kappa), advised by Tom Griffiths and Ryan Adams; PhD student at Stanford, advised by Noah Goodman and Emily Fox.
Background
- PhD student in Computer Science, with research interests in enhancing the reasoning capabilities of large language models and statistical machine learning.
Miscellany
- Website design and source code from Jon Barron's website.
