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David Holcman is an Applied Mathematician working at ENS in Paris. He develops models, asymptotic and computational methods to analyze large data sets related to neuroscience (synaptic transmission, neuronal network and EEG). He has developed with Zeev Schuss the Small Hole Theory, to study the arrival of a random particle to a small window, and methods to extract features from Superresolution data.
David Holcman was also an Overseas Fellow of Churchill College in 2015-19.