Published multiple conference papers in top-tier conferences such as NeurIPS, ICML, and ICLR. Preprint: 'Can Large Reasoning Models Self-Train?' (2025). Journal publications in TMLR and PNAS.
Research Experience
Worked with Prof. Percy Liang, Prof. Stefano Ermon, and Prof. Stephen Luby during his time at Stanford.
Education
BS (Mathematics) from Stanford University (2022), MS (Computer Science) from Stanford University (2023), supervised by Prof. Chelsea Finn; PhD student at the Machine Learning Department of Carnegie Mellon University, co-advised by Prof. Ruslan Salakhutdinov and Prof. Jeff Schneider.
Background
PhD student in Machine Learning, with research interests including reasoning models, reinforcement learning, and deep learning.
Miscellany
Contact: Email, CV, Google Scholar, Github, LinkedIn