Henry Smith
Sequoia Hall
Palo Alto, CA 94305
My name is Henry (he/him), and I am a fourth-year PhD student in the Department of Statistics at Stanford University, where I am fortunate to be advised by Professors Scott Linderman and Brian Trippe. My graduate studies are graciously supported by the Knight-Hennessy fellowship and the National Science Foundation Graduate Research Fellowship (GRFP).
I am broadly interested in applied probability and probabilistic machine learning (probabilistic ML), with applications to neuroscience and computational protein design. I am especially excited about continuous-time latent variable models, such as diffusion and flow models.
Find my CV here. You can contact me at [last-name]hd@stanford.edu.
News
| Sep 24, 2026 | My paper “Closing the Approximation Gap in Simulation-free Latent SDEs” with Brian Trippe and Scott Linderman was accepted at NeurIPS. We have also released code. |
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| Jun 15, 2026 | A preprint of my paper “Closing the Approximation Gap in Simulation-free Latent SDEs” with Brian Trippe and Scott Linderman is available on arXiv. |
| Jun 1, 2026 | I will be interning over the summer at the Flatiron Institute, where I will be advised by Minhuan Li, Mark Goldstein, and Pilar Cossio. |
| Apr 30, 2026 | My paper “Calibrating Generative Models to Distributional Constraints” with Nathaniel Diamant and Brian Trippe was accepted at ICML. |
| Oct 11, 2025 | A preprint of my paper “Calibrating Generative Models” with Nathaniel Diamant and Brian Trippe is available on arXiv. Check out our code as well. |