Robert Rosenbaum

Robert Rosenbaum is an Associate Professor and Director of Graduate Studies in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame’s College of Science. His research focuses on computational and mathematical modeling of neural circuits, particularly examining excitatory-inhibitory balance in cortical circuits and the intersection of neuroscience with artificial intelligence. He holds a PhD in Mathematics from the University of Houston (2011), following a BS in Computer Science and Mathematics (2006). After postdoctoral work at the University of Pittsburgh, he joined Notre Dame in 2014.

Education:

• PhD in Mathematics, University of Houston, 2011
• MS in Mathematics, University of Houston, 2008
• BS in Computer Science and Mathematics, 2006

Research interests include understanding how neural circuits process information, particularly through mechanisms like synaptic plasticity and network dynamics. Recent work explores how biological principles can inform AI and vice versa. His models bridge theoretical neuroscience with practical applications, emphasizing computational tools like Python-based simulation frameworks.

His most recent articles (2020–2025) highlight advancements in neural circuit modeling, predictive coding-AI links, and plasticity mechanisms. He has contributed to understanding high-dimensional dynamics in low-dimensional networks and functional connectomics in visual cortex studies. His work on Oja’s plasticity rule and meta-learning algorithms demonstrates efforts to align biological plausibility with machine learning.

Rosenbaum’s lab focuses on interdisciplinary approaches to neural computation, leveraging mathematical rigor and computational methods. He directs graduate studies, fostering training in applied mathematics and computational neuroscience.