I am an Associate Professor in the Sibley School of Mechanical and Aerospace Engineering at Cornell University, where I lead the Computational Mechanics and Scientific AI Lab (CoMSAIL). My research lies at the interface of scientific machine learning, computational fluid, solid, thermal dynamics, data assimilation, and uncertainty quantification, with a central goal of advancing predictive modeling and decision-making in complex physical systems.

My group focuses on developing next-generation computational frameworks that integrate physics-based simulation with machine learning — including differentiable programming, hybrid neural PDE solvers, and generative modeling — to enable efficient, reliable, and uncertainty-aware predictions in multiscale, multiphysics environments. Application domains include turbulence modeling, fluid–structure interaction, cardiovascular biomechanics, multi-scale thermal management, and materials under extreme conditions.

I received my Ph.D. in Aerospace Engineering from Virginia Tech in 2017, followed by postdoctoral research at the University of California, Berkeley. Before joining Cornell, I was a tenured Associate Professor with Robert W. Huether Collegiate Endowed Chair at the University of Notre Dame. My work has been supported by the NSF, ONR, AFSOR, DARPA, NIH, and other federal agencies. I am a recipient of the NSF CAREER Award, ONR Young Investigator Award etc. I currently serve as an Associate Editor for Journal of Computational Physics and the Vice Chair of the USACM Technical Thrust Areas on Data-Driven Modeling.

Educational & Professional Experience

• Associate Professor, Cornell University, 2025 – Present
• Robert W. Huether Collegiate Associate Professor, University of Notre Dame, 2024 – 2025
• Assistant Professor, University of Notre Dame, 2018 – 2024
• Postdoc, UC Berkeley, 2017 – 2018
• Ph.D. Candidate, Virginia Tech, 2013 – 2017