Projects
Selected academic work and notes in probability, statistics, and quantitative methods.
Convex Optimization for LLM Preference Elicitation
Convex Optimization Project • Dec 2025
Formulates an optimal experimental design problem to select the most informative prompts for learning human preferences, and connects G-optimal / D-optimal design with convex optimization tools.
Optimal experimental design G-optimal / D-optimal design Log-det Schur complement Frank–Wolfe
Empirical Process Theory
Bachelor Project • May 2025
Notes connecting concentration inequalities, high-dimensional probability, and empirical process tools, with a perspective toward statistical learning theory.
Concentration inequalities High-dimensional probability Sub-Gaussian variables Covering numbers / nets VC dimension