Alexander Mogilner

Alexander Mogilner is a Professor of Mathematics and Biology at New York University, with dual appointments in the Courant Institute of Mathematical Sciences and the Department of Biology within the Faculty of Arts & Science. His interdisciplinary research bridges mathematics and cell biology, focusing on computational approaches to understanding cellular mechanics.

• New York University, Faculty of Arts & Science
• Courant Institute of Mathematical Sciences
• Department of Biology

Mogilner's educational background includes a Ph.D. in Applied Mathematics from the University of British Columbia (1995), a Ph.D. in Physics from the USSR Academy of Sciences (1990), and an M.Eng. in Engineering Physics from Ural Polytechnic Institute (1985). His research focuses on the mathematical modeling of cellular processes, particularly how cells use self-assembling molecular machines for movement and division. His work examines mechanochemical systems involving cytoskeletal polymers, molecular motors, and biochemical regulators.

His publication record shows a strong focus on computational approaches to cell motility, mitosis, and cytoskeletal dynamics. Over the past decade, his work has increasingly incorporated advanced computational methods including partial differential equations, free boundary simulations, and stochastic processes to model complex cellular phenomena. His research spans both theoretical developments in mathematical biology and close collaborations with experimental cell biologists.

Mogilner maintains an active laboratory focused on computational cell biology, with research projects spanning cell polarization, mitotic spindle assembly, actin-myosin contraction mechanisms, and cellular responses to electric fields. His work demonstrates how mathematical approaches can provide deep insights into complex biological systems.