Peter Kramer

Dr. Peter Kramer is a Professor and Department Head in the Department of Mathematical Sciences at Rensselaer Polytechnic Institute. He holds a Ph.D. from Princeton University (1997) and has been at Rensselaer since 2000. His research focuses on applying probability theory, differential equations, and stochastic modeling to study complex systems in biology, environmental science, and neuroscience. Key areas include molecular motor transport, neuronal network analysis, and active matter dynamics. He collaborates with researchers at institutions like Arizona State University and the University of Colorado.

Dr. Kramer’s work emphasizes statistical approaches to model unresolved variables in computationally intensive systems. Notable projects address cargo transport in cells, environmental stochastic modeling, and neuronal network topology inference from firing data. He organizes the Mathematical Problems in Industry Workshop and mentors students in modeling competitions like the Mathematical Contest in Modeling.

His recent publications (2017–2022) explore topics such as stochastic field theories for active matter, molecular motor cooperation, and Bayesian inference in dynamical systems. His research bridges applied mathematics with interdisciplinary applications, emphasizing both theoretical rigor and practical computational methods.