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Originally trained in Mathematical Physics at École Polytechnique, France, Thibaud Taillefumier completed his PhD in Biophysics at Rockefeller University in 2012. After joining the University of Texas at Austin, he served as an Associate Research Scholar at the Lewis-Sigler Institute for Integrative Genomics at Princeton University. Taillefumier's research applies mathematics to theoretical neuroscience, specifically focusing on the emerging collective properties and possible design principles of neural networks. His approach integrates concepts from optimization theory, stochastic dynamics, and information theory, exploring the nexus between these fields and non-equilibrium thermodynamics to better understand the nature of neural computations.
University of Texas at Austin • Austin, TX
Teaching and conducting research in Neuroscience with a focus on mathematical applications.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.