Dr. Aditi Krishnapriyan

Biography

Aditi Krishnapriyan is an Assistant Professor in the Department of Chemical Biomolecular Engineering and the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She is also a member of the Berkeley AI Research (BAIR) Group. Her research focuses on the development of new physics-inspired machine learning methods, including geometric deep learning, differentiable physics, and dynamical systems. Krishnapriyan's work aims to integrate physical inductive biases into machine learning models to enhance their generalization capabilities, as well as to leverage machine learning to improve classical physics-based numerical solvers. This includes exploring end-to-end differentiable frameworks and implicit layers, as well as learning strategies that account for distribution shifts in physical sciences. Her foundational research is grounded in applications related to physics, fluid molecular dynamics, materials design, and climate science, and she interfaces her work with numerical methods and computational geometry.

Research Interests