I am a research scientist at Netflix, working on content creation for original series, movies, and video games. Previously, I received my PhD at MIT advised by Justin Solomon in Geometric Data Processing group. Before coming to MIT, I obtained my Bachelor's Degree in Computer Science and Mathematics and my Master's Degree in Mathematics, both at Stanford University.
I am broadly interested in research problems in machine learning, optimization, and computer vision/graphics. I am grateful to have interned at Microsoft Research with Lester Mackey and at Adobe Research with with Noam Aigerman and Vova Kim during my PhD. At Stanford, I was fortunate to have worked with Leonidas Guibas and Daniel Bump, among many others.
Publications

Debiased Distribution Compression
International Conference on Machine Learning (ICML 2024), Vienna

Self-Consistent Velocity Matching of Probability Flows
Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA

Sampling with Mollified Interaction Energy Descent
Conference on Learning Representations (ICLR 2023), Kigali

Learning Proximal Operators to Discover Multiple Optima
Conference on Learning Representations (ICLR 2023), Kigali

Wasserstein Iterative Networks for Barycenter Estimation
Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Conference on Neural Information Processing Systems (NeurIPS 2021), online

Large-Scale Wasserstein Gradient Flows
Conference on Neural Information Processing Systems (NeurIPS 2021), online

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
Conference on Learning Representations (ICLR 2021), online

Continuous Regularized Wasserstein Barycenters
Conference on Neural Information Processing Systems (NeurIPS 2020), online

Supervised Fitting of Geometric Primitives to 3D Point Clouds
Oral Presentation
Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA

Branching Rules of Classical Lie Groups in Two Ways
Undergraduate honors thesis. Stanford University, 2018
