Nicholas Di

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

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222 Maxfield Hall

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” Minisymposium Talk at SIAM Conference on Mathematics of Data Science, Salt Lake City UT
Oct 13, 2026 “Surfacing Jagged Intelligence via Agentic Search for Weak-Model Wins” accepted to NeurIPS Self-Evolving Diversity-Driven Search for Robust AI Systems Workshop
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

selected publications