My research interests lie broadly in stochastic optimization, bilevel optimization, and large-scale optimization, with a particular focus on first-order methods.
I am interested in designing optimization frameworks to address the complex objectives that arise in modern machine learning systems, including generative model training, reinforcement learning, and hyperparameter optimization. My goal is to develop both theoretical foundations and practical algorithms for solving large-scale engineering problems.
