Personal webpage*
Abstract
I'm a PhD student in the
Computer Science Department at
Carnegie Mellon University, advised
by Andrej Risteski and
Nicholas Boffi. Prior to CMU,
I was an undergraduate at
Georgia Tech, where I worked on
applied math with
Florian Schäfer.
Key words
generative modeling, statistical inference, numerical computation
MSC codes
68Q32, 62-08, 65F55
Introduction
My research interests are in problems spanning machine learning, statistics, and applied mathematics. I'm particularly interested in designing efficient numerical algorithms for generative modeling, sampling, and statistical inference. See these high-level summaries for details about my work.
External links
- GitHub: stephen-huan
- ORCID: 0009-0009-6309-4415
- Google Scholar
News
| Date | Description |
|---|---|
| Giving a talk at CMU's Statistical Transport Talk Series. Thanks Siva for the invite! | |
| Attending Supercomputing (SC) 26. | |
| I am a teaching assistant for Andrej's new class 10-749 (AI for Scientific Computing). | |
| At the Simons Institute's Diffusion Generative Modeling: Progress and Next Steps program. | |
| Poster session at the DOE CSGF Annual Program Review. |