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Frank C. Hoppensteadt is an Emeritus Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University. His research primarily focuses on nonlinear systems, specifically in areas such as neuromorphic engineering, neural circuits, and population biology. Hoppensteadt has made significant contributions to the understanding of weakly connected neural networks and their synchronization dynamics. He has published numerous articles and has collaborated with a variety of researchers in the field. His work is recognized for its mathematical rigor and practical implications in biological systems and computational neuroscience. Hoppensteadt has also engaged in modeling and simulation techniques applicable to life sciences, contributing to advancements in both theoretical and applied mathematics. His extensive body of work underscores his role in bridging the gap between pure mathematics and its applications to real-world problems. Additionally, he has an interest in the mathematical methods used in population biology, exploring demographic and genetic dynamics as well as epidemic models in various contexts.
Courant Institute of Mathematical Sciences, New York University • New York, NY
Teaching and research in the field of applied mathematics, specializing in nonlinear systems and neuroscience.
Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.