His research interests are in the areas of scientific computing and computational physics. His lab leverages advances in applied mathematics and high-performance computing to model, design and control real-world physical phenomena. From the application point-of-view, his lab is particularly interested in food, energy and environment-related phenomena. His group develops mathematical techniques and computational tools — model reduction, multi-scale frameworks, multi-physics simulators, control algorithms, data-driven methods, high-throughput computing pipelines — to efficiently model these systems. Most of these efforts are done in conjunction with experimental collaborators.