Nicholas Di

Rice University. 6100 Main St, Houston, TX 77005. nd56@rice.edu

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222 Maxfield Hall

Welcome to my portfolio. I am a PhD student in Statistics at Rice University, with a Bachelor’s degree in Economics (Honors) and Applied Mathematics from Macalester College. My research interests include Machine Learning Theory, Numerical Optimization, Uncertainty Quantification, and Causal Inference. I am currently working with Dr. Eric Chi (now at University of Minnesota) and Dr. Huixia Judy Wang. Prior to starting at Rice, I worked in economic consulting and finance at Ernst & Young. I am also a NASM certified personal trainer working at the Gibbs Recreation and Wellness Center.

news

Nov 16, 2026 “Operator Splitting with Hamilton-Jacobi-based Proximals” Invited Talk at SIAM Conference on Mathematics of Data Science, Salt Lake City UT
Aug 02, 2026 “Operator Splitting with Hamilton-Jacobi-based Proximals” Contributed Talk at Joint Statistical Meetings, Boston MA
Apr 30, 2026 “Operator Splitting with Hamilton-Jacobi-based Proximals” accepted by International Conference of Machine Learning
Sep 22, 2025 “iFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games.” accepted by NeurIPS Dynamics at the Frontiers of Optimization, Sampling, and Games Workshop
Sep 22, 2025 “A Monte Carlo Approach for Nonsmooth Convex Optimization via Proximal Splitting Algorithms” accepted by NeurIPS Optimization for Machine Learning Workshop

selected publications