Yannis Kevrekidis

Yannis Kevrekidis joined DARPA in September 2023 as a program manager in the Defense Sciences Office. His interests lie at the interface between applied mathematics/numerical analysis and data science/machine learning. His work at DARPA will focus on new modeling approaches and algorithms arising from cross-fertilization between ``traditional" applied mathematics and the novel capabilities afforded to modelers by data science and machine learning.

Before joining DARPA, Kevrekidis served at Johns Hopkins University as the Bloomberg Distinguished Professor in the departments of Chemical and Biomolecular Engineering and Applied Mathematics and Statistics. He started his career in 1985as a Director's Fellow at the Center for Nonlinear Studies in Los Alamos, New Mexico. He then joined the faculty at Princeton University, where he taught chemical engineering and applied and computational mathematics for 31 years. In 2017, he received emeritus status at Princeton and joined Johns Hopkins as a Bloomberg Distinguished Professor. Throughout his career, his work has revolved around some form of nonlinear dynamics (instabilities and bifurcation algorithms, spatiotemporal patterns, and data science in the 1990s; nonlinear identification; multiscale modeling; and, most recently, data science/machine learning). He has been named a Packard Fellow, a Presidential Young Investigator, and the Ulam Scholar at Los Alamos National Laboratory. He holds the Colburn, CAST, Wilhelm and Walker Awards of the American Institute of Chemical Engineers and the Crawford and Reid Prizes of the Society for Industrial and Applied Mathematics. He is a member of the National Academy of Engineering, the American Academy of Arts and Sciences, and the Academy of Athens.