Saeed Masiha

I develop theory and algorithms for optimization and machine learning, with a focus on efficient learning, decisions under uncertainty, and understanding how models perform when data are limited or differ from those used in training.

My research brings together nonconvex, stochastic, and bilevel optimization with applications in large language model (LLM) training, reinforcement learning (RL), and risk-aware learning.