David Sivakoff

Assistant Professor, Statistics

David Sivakoff's research is in probability and stochastic processes on networks and lattices.  His interests include studying phase transitions of interacting particle systems and percolation models, analyzing the long-time behavior of deterministic processes (e.g., cellular automata) with random initial data, and leveraging these processes to improve estimation with network samples.  Prior to his current position at OSU, David was a postdoc in the Mathematics Department at Duke University and at the Statistical and Applied Mathematical Sciences Institute (SAMSI), a PhD student in Applied Mathematics at UC Davis, and an undergraduate in Psychology and Mathematics at the University of Maryland.  David's work is currently supported by the NSF.

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1958 Neil Avenue
Department of Statistics
The Ohio State University
Columbus, OH 43210