Scholar
Haoxian Chen
Google Scholar ID: yOUIELYAAAAJ
Columbia University
Citations & Impact
Citations
147
H-index
6
i10-index
6
Publications
13
Co-authors
12
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published papers accepted at ICML 2025, ICLR 2025, NeurIPS 2024 Pluralistic Alignment Workshop, etc.; awarded 2023 Amazon CAIT Fellowship.
Research Experience
- Worked as an Applied Scientist at Amazon; completed two internships at Morgan Stanley, focusing on using machine learning to enhance Monte Carlo methods and machine learning research.
Education
- Ph.D. in Operations Research from Columbia University, advised by Prof. Henry Lam and Prof. Wenpin Tang; M.S. in Operations Research from Columbia University; B.S. in Applied Mathematics from UCLA.
Background
- Research interests: generative models (including large language models and diffusion models), with a focus on RLHF; efficient uncertainty quantification. Also interested in designing efficient machine learning algorithms with theoretical guarantees.
