Victor Geadah, Ph.D.

Victor Geadah is a Flatiron Research Fellow at the Center for Computational Neuroscience at the Flatiron Institute. He develops statistical methods that draw on dynamical systems, control theory, and probabilistic machine learning to understand how intelligent systems learn and adapt to new environments. He received his Ph.D. in Applied and Computational Mathematics from Princeton University, where he worked with Jonathan Pillow and was a Porter Ogden Jacobus Fellow. He previously studied mathematics at the University of Cambridge (Part III) and the Université de Montréal.