Upcoming
Peter Sarnak, Ph.D.Eugene Higgins Professor of Mathematics, Princeton University 
Stephen Liberles, Ph.D.Professor of Cell Biology, Harvard Medical School 
Vicky Kalogera, Ph.D.Daniel I. Linzer Distinguished University Professor in the Department of Physics and Astronomy, Northwestern University 
Stephen R. Quake, Ph.D.Lee Otterson Professor of Bioengineering, Stanford University 
Kara Marshall, Ph.D.Assistant Professor, Neuroscience, Baylor College of Medicine 
Alex Lupsasca, Ph.D.Assistand Professor, Physics and Mathematics, Vanderbilt University Past
Can efficient algorithms find approximately optimal solutions? The classical theory of NP-completeness didn't address or preclude this possibility.
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This talk presents a strategy based on systematic gene perturbation and innovative multiplex detection to derive regulatory networks in mammalian cells.
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This talk presents the normalization model of neural computation and elaborates the hypothesis that dysfunctions of normalization may be associated with schizophrenia, amblyopia, epilepsy, and autism spectrum disorders.
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Michael Kearnsprofessor in the Computer and Information Science Department, University of Pennsylvania The modern ability to carefully measure large-scale social networks has driven new empirical studies and theoretical models of growth, dynamics, influence, and collective behavior in such systems.
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Avi Wigderson, Ph.D.Princeton University Man has grappled with the meaning and utility of randomness for centuries. This talk describes two main aspects of the research on randomness with respect to the theory of computation, demonstrating respectively its power and weakness for making algorithms faster.
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