Recipient of the NSF CAREER and NIH Trailblazer awards, and in early 2025, received the prestigious Presidential Early Career Award for Scientists and Engineers (PECASE) from President Biden.
Research Experience
Currently a tenured Associate Professor at the University of Utah, affiliated with both the Scientific Computing and Imaging Institute and the Department of Mechanical Engineering. The research group focuses on studying the mechanisms behind initiation and progression of different diseases, particularly cardiovascular disease, through developing computational models that capture the multiscale and multiphysics nature of such conditions.
Education
BSc in Mechanical Engineering from Isfahan University of Technology; MSc in Mechanical Engineering from Illinois Institute of Technology; PhD in Mechanical Engineering from UC Berkeley.
Background
Research interests include: 1. Fundamental and applied scientific machine learning research. 2. Developing new methods that can model the progression of disease by capturing the multiscale nature of disease growth. 3. Understanding the fundamental blood flow processes in cardiovascular disease. 4. Collaborating with experimentalists to build reliable computational models with hybrid computational-experimental data-driven modeling using machine learning. 5. Understanding flow physics and transport in complex flows (cardiovascular flows, environmental flows, etc.).
Miscellany
The research team is dually affiliated with the University of Utah's Scientific Computing and Imaging Institute (SCI Institute) and Mechanical Engineering Department.