Nicholas Di
Rice University. 6100 Main St, Houston, TX 77005. nd56@rice.edu
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. Prior to starting at Rice, I worked in economic consulting and finance, where I applied advanced statistical methods to address complex challenges. I am also a NASM certified personal trainer working at the Gibbs Recreation and Wellness Center.
news
| Sep 22, 2025 | “FlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games.” accepted by NeurIPS Dynamics at the Frontiers of Optimization, Sampling, and Games Workshop |
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| Sep 22, 2025 | “A Monte Carlo Approach for Nonsmooth Convex Optimization via Proximal Splitting Algorithms.” accepted by NeurIPS Optimization for Machine Learning Workshop |
| Sep 04, 2025 | “The Causal Pivot: A structural approach to genetic heterogeneity and variant discovery in complex diseases” published in The American Journal of Human Genetics |
| Jul 13, 2025 | “IFlowNets: Generative Flow Networks for Incomplete Information Games” accepted to SIAM Texas-Louisiana Sectional Meeting 2025 |
| May 15, 2025 | Started internship at Lawrence Livermore National Laboratory Artificial Intelligence Research Group |