Themistoklis Sapsis

Themistoklis Sapsis is an Associate Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology. His research focuses on extreme events, uncertainty quantification and prediction, turbulent systems, nonlinear water waves, climate modeling, random vibrations, and energy harvesting. He is affiliated with the Institute for Data, Systems and Society and the Center for Computational Science and Engineering. Dr. Sapsis received a Diploma in Naval Architecture and Marine Engineering from the National Technical University of Athens and a Ph.D. in Mechanical and Ocean Engineering from MIT. Prior to joining MIT, he served as a Research Scientist at the Courant Institute of Mathematical Sciences at New York University and was a visiting faculty member at ETH-Zurich.

Themistoklis Sapsis is a Professor of Mechanical and Ocean Engineering at MIT, specializing in extreme events, uncertainty quantification, Bayesian methods, fluid dynamics, and ocean engineering. His research focuses on understanding and predicting extreme events in complex dynamical systems using data-driven and probabilistic approaches. He develops reduced-order models and machine learning techniques to forecast high-dimensional chaotic systems and analyze spatiotemporal dynamics. His work also explores Lagrangian coherent structures, inertial particle dynamics, and stochastic dimensionality in fluid flows. Sapsis integrates mathematical modeling with computational methods to enhance the prediction and mitigation of extreme events in oceanic and mechanical systems.