I joined the Division of Applied Mathematics and the CRUNCH Group at Brown University in 2013 as a post-doctoral research associate and am currently holding an assistant professor (research) position. I have been working under the mentorship of Professor Karniadakis, and am interested in data-driven and multiscale modeling in medicine with focus on modeling of complex biological processes such as the physiology and pathophysiology of the human circulatory system.
I have developed special interest in physics-informed deep learning for various inverse problems that require parameter inference and data assimilation such as in fluid and solid mechanics and systems biology. My other interests are in the use of machine learning in non-invasive diagnosis of diseases using different modalities in the data.
Areas of Interest
- Physics-informed Deep Learning of Physical Processes e.g., Fluid Transport
- Multiscale/Multiphysics Modeling of Biological Systems and Complex Fluids
- Patient-specific and Probabilistic Modeling of Blood Flow in Vascular and Cardiovascular Diseases
