I am a third year CS PhD student advised by Stefano Ermon. Previously, I received a B.A. in Math and Computer Science from Cornell University, where I was advised by Chris De Sa. I’m supported by the NSF GRFP.
I develop deep generative models (such as diffusion models) that incorporate geometric inductive biases, with applications in vision, language, and natural science data.
|Aug 23, 2021||I started my PhD at Stanford University.|
|May 28, 2021||I graduated from Cornell University.|
- PreprintDiscrete Diffusion Language Modeling by Estimating the Ratios of the Data DistributionIn Preprint, 2023
- Reflected Diffusion ModelsIn International Conference on Machine Learning, 2023
- Neural Manifold Ordinary Differential EquationsIn Neural Information Processing Systems, 2020
- Differentiating through the Fréchet MeanIn International Conference on Machine Learning, 2020