Romit Maulik is the Margaret Butler Postdoctoral Fellow at the Argonne Leadership Computing Facility. In addition, he is associated with the Mathematics and Computer Science division working with the RAPIDS team at the SciDAC Computer Science institute. His research interests are centered around the development of physics-informed machine learning algorithms for a variety of computational physics applications such as numerical methods, turbulence modeling, and model-order reduction. Before Argonne, he obtained a Ph.D. in Mechanical and Aerospace Engineering at Oklahoma State University through work on the development of data-driven sub-grid models for the large-eddy simulation of high aspect ratio flows relevant to geophysical fluid dynamics.
Machine Learning, Deep Learning and Artificial Intelligence
Parallel Programming Languages, Libraries, and Models