Tommer David Keidar is a Ph.D. student in the Department of Physical Chemistry at Tel Aviv University, working under the supervision of Prof. Shlomi Reuveni. His research focuses on stochastic processes, developing mathematical frameworks to describe randomness in systems ranging from chemical reactions to machine learning.

Keidar studies how stochastic systems respond to perturbations. His work has identified a general relation that makes it possible to predict a process's completion time under perturbations from basic statistical properties. This approach enables, among other applications, the inference of fluctuations in the duration of molecular processes from bulk measurements, a task previously considered unattainable. In parallel, he has developed a theoretical framework for adaptive stochastic resetting, where system dynamics are controlled through state-dependent resetting, a framework whose potential applications are relevant for molecular simulations and search processes.

As part of a research track for outstanding students, Keidar completed his B.Sc. in Chemistry at Tel Aviv University summa cum laude and then continued directly to a Ph.D. His name appeared consistently on the Dean’s list, and he received several fellowships and awards, including the Ratner Center Scholarship, the Trotsky Foundation Award, and an Outstanding Poster Award at the 2025 Israel Chemical Society conference. Keidar lives with his partner and their two cats.