Over the past four decades, Kevrekidis, the Pomeroy and Betty Perry Smith Professor in Engineering, Emeritus, has developed sophisticated computational methods to enable the study of complex chemical, biological and physical processes at multiple scales.

He played a leading role in the development of an approach called equation-free modeling, which allows scientists to study emergent macroscopic behaviors in systems where only the underlying microscopic phenomena are well understood by mathematical theory. He has also extended this approach to equation-free and variable-free modeling for use with modern machine learning techniques. These methods have played a key role in a wide range of applications, including protein folding, electrochemistry, reaction engineering and network theory.

In addition to co-advising Princeton CBE graduate students as a senior scholar, he is also currently the Bloomberg Distinguished Professor in the Departments of Chemical and Biomolecular Engineering and Applied Mathematics and Statistics and in the School of Medicine’s Department of Urology at Johns Hopkins University.

Kevrekidis is a member of the National Academy of Engineering and the National Academy of Arts and Sciences. He has been a Packard Fellow, an NSF Presidential Young Investigator and a Guggenheim Fellow. Previously, AIChE honored him with the Colburn, the Wilhelm, and the Computing in Chemical Engineering Awards. The Society for Industrial and Applied Mathematics awarded him a Crawford Prize and a Reid Prize. In 2015, he was elected a corresponding member of the Academy of Athens. He also holds a career Teaching Award from the School of Engineering at Princeton, among many other distinctions. Kevrekidis earned a bachelor’s degree at the National Technical University in Athens and a Ph.D. at the University of Minnesota. He joined the Princeton faculty in 1986.