Stephen Huan (浣苇杭)
5000 Forbes Ave
Pittsburgh, PA 15213
I'm a PhD student in the Computer Science Department at Carnegie Mellon University, advised by Andrej Risteski and Nick Boffi. Prior to CMU, I was an undergraduate at Georgia Tech, where I worked on applied math with Florian Schäfer.
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.
I am best reached via email.
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. |
selected publications
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Mitigating error propagation in chaotic dynamics via inference-time noising: a view from backward samplingSubmitted to STOC 2027,
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Sparse inverse Cholesky factorization of dense kernel matrices by greedy conditional selectionSIAM/ASA Journal on Uncertainty Quantification,