Generative Modeling
Research on controllable and conditional visual generation leveraging Generative Foundation Models (GenFMs).
Research
My research focuses on understanding and developing learning systems through generative modeling, representation geometry, and transfer learning across domains and distributions.
Representation Geometry
Research on understanding the geometric structure of learned representations and their connections to model expressivity and behavior.
Transfer Learning
Research on parameter-efficient fine-tuning (PEFT) for transfer and generalization across domains and distributions.