I'm a PhD student in the Computer Science Department at Carnegie Mellon University, advised by Andrej Risteski. Prior to CMU, I was an undergraduate at Georgia Tech, where I worked on computation and inference with Florian Schäfer.
My research interests are in problems spanning machine learning, statistics, and applied mathematics. I'm particularly interested in efficient numerical algorithms for generative modeling, sampling, and statistical inference. See these high-level summaries for more details about my work.
I am best reached via email.
GitHub: stephen-huan
ORCID: 0009-0009-6309-4415
Date | Description |
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2024-10-21 | I will present a talk and poster at SIAM Conference on Mathematics of Data Science (MDS24). |
2024-08-26 | I will (unoffically) attend the Simons Institute's Modern Paradigms in Generalization program. |
2024-05-04 | I graduated from Georgia Tech with a BS in Computer Science and minor in Mathematics. |
2024-04-15 | I will start my PhD in Carnegie Mellon University's Computer Science Department in fall 2024! |
2023-08-24 | Slides for a talk at the SFP Summer Seminar Day. |