I am a postdoctoral fellow at the Advanced Leadership Computing Facility (ALCF) at Argonne National Laboratory where I work with Dr. Prasanna Balaprakash and Dr. Bethany Lusch on scalable machine learning development for computational physics applications. This includes, but is not limited to, data-driven closure modeling for practical computational fluid dynamics applications, surrogate modeling for advection-dominated problems and for computational chemistry. In addition, I am also associated with the DeepHyper project at Argonne for scalable asynchronous neural architecture and hyperparameter search for deep neural networks.
My doctoral adviser was Dr. Omer San, PI at the Computational Fluid Dynamics Laboratory at Oklahoma State University where we endeavored to investigate elegant combinations of machine learning algorithms and physics based models for computational physics applications. My research dealt with the development of closure models for large eddy simulations of turbulence. In addition, I was also involved with the development of closures for reduced-order models for high-dimensional systems analogous to LES.
You may find more information about my background and research interests, along with a list of publications here. Feel free to email me for further questions about my research and for code-requests.