About Me

Presently I am a Senior Software Engineer at NVIDIA, working on the physics machine learning framework Modulus and Earth-2 project. Much of my work is focused on bringing AI advances for simulating physical phenomena to industrial scales. A core focus of this effort is making this revolutionary work accessible to engineering / domain experts for research and development purposes.

In 2022 I revcieved my Ph.D. in Mechanical Engineering at the University of Notre Dame studying machine learning and uncertainty quantification under Dr. Nicholas Zabaras. My research there focused on the integration of physical knowledge into AI methods (deep neural networks) for engineering problems. This includes the development of probabilistic or generative frameworks for uncertainty quantification.

I completed B.S. degree in mechanical engineering at the the University of Delaware. During my time at Delaware I worked with Dr. Lian-Ping Wang studying multi-phase direct numerical simulations of turbulent flows using the Lattice Boltzmann method. My main area of focus was on the computational implementation of our in house FORTRAN code to make it as efficient and scalable as possible.