Physics-Based Machine Learning and Computational Biology
We develop and apply physics-based machine learning and computational biology to address challenging problems in science, engineering, and biomedicine.
Our research combines physical principles, mathematical modeling, statistical inference, and machine learning to develop interpretable and robust computational approaches for complex biological and scientific systems.