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 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, and I currently serve as 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