Mathematics Department Chair Elected to 2021 Class of SIAM Fellows

Jonathan Rubin, professor and chair of the Department of Mathematics in the Kenneth P. Dietrich School of Arts and Sciences, was recently elected to the Class of 2021 Fellows of the Society for Industrial and Applied Mathematics. Rubin, one of 28 new fellows, was recognized for his contributions to mathematical neuroscience, mathematical biology, and dynamical systems theory.

Rubin majored in Mathematics as an undergraduate at The College of William and Mary and received his Ph.D. in Applied Mathematics from Brown University in 1996.  He was a Zassenhaus Assistant Professor and then a National Science Foundation Postdoctoral Fellow in the Department of Mathematics at The Ohio State University before joining the Pitt Mathematics faculty in 2000.  In addition to his Mathematics position, he is a Graduate Faculty member, a Center for Neuroscience at University of Pittsburgh Graduate Training Faculty member, a member of the Center for the Basis of Neural Cognition, an affiliate of the McGowan Institute for Regenerative Medicine, and a Visiting Professor in Computational Biology.  14 students have completed their PhDs at Pitt under Rubin’s supervision or co-supervision.  He has also mentored 8 postdoctoral fellows.

Society for Industrial and Applied Mathematics (SIAM) is an international community of over 14,000 individual members. Almost 500 academic, manufacturing, research and development, service and consulting organizations, government, and military organizations worldwide are institutional members. SIAM was incorporated in 1952 as a nonprofit organization to convey useful mathematical knowledge to other professionals who could implement mathematical theory for practical, industrial, or scientific use. Since then, SIAM’s goals have remained the same.

1. To advance the application of mathematics and computational science to engineering, industry, science, and society.

2. To promote research that will lead to effective new mathematical and computational methods and techniques for science, engineering, industry, and society.

3. To provide media for the exchange of information and ideas among mathematicians, engineers, and scientists.