Francesca Mignacco, Ph.D.

Francesca Mignacco is a postdoctoral fellow at the Center for the Physics of Biological Function, a joint effort between the Graduate Center at City University of New York and Princeton University. Her research interests are at the crossroads of statistical physics, machine learning and computational neuroscience. Her graduate research focused on the search for theoretical foundations of machine learning using methods and knowledge from statistical physics.

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Hugo Vaysset, Ph.D.

Hugo Vaysset is a postdoctoral researcher in Sam Sternberg's laboratory at Columbia University. He completed his Ph.D. in evolutionary genomics at the Institut Pasteur in Paris, France, under the supervision of Aude Bernheim and Pascal Hersen. Hugo is broadly interested in tracing ancient evolutionary connections between gene families across bacteria, archaea, and eukaryotes to understand the evolution of life at the broadest timescales and guide functional discovery through systematic mining of large biological sequence databases.

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Max Xu, Ph.D.

Portrait of Max Xu

Max Xu is joining the Courant Institute of Mathematical Sciences at New York University as a postdoctoral researcher. Xu completed his Ph.D. at Stanford University under the supervision of professor Kannan Soundararajan and professor Jacob Fox. Prior to Stanford, Xu received a M.A. in mathematics from the University of Cambridge, where he was based at Trinity College and mentored by professor Peter Varju. Before Cambridge, Xu obtained a B.S. in mathematics from University College London where his mentor was professor Andrew Granville.

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