Research

My research centers on reliable and efficient distributional optimization for decision-making and generative modeling. My goal is to develop the mathematical and algorithmic foundations for controllable and efficient generative-model steering, and to translate these advances into applications in scientific discovery. Specifically, I work on:

• Mathematical foundations of distributional optimization
• Risk-averse, robust, and constrained learning
• Fine-tuning of diffusion and flow models
• Applications in scientific discovery