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Janko Gravner is a Professor of Probability at the University of California, Davis. He obtained his Ph.D. in 1991 from the University of Wisconsin, Madison. His research focuses on deterministic random cellular automata, which are mathematical objects that describe the evolution of configurations governed by local rules. Cellular automata serve as models for natural phenomena, providing insights into fundamental organizational principles across scientific fields. Gravner's work emphasizes the interplay between rigorous mathematical analysis and large-scale computation, data analysis, and visualization. His selected publications include influential papers on topics such as the Internal DLA Stefan problem and random growth models for polygonal shapes. His contributions have advanced the understanding of percolation fitness landscapes and the modeling of snow-crystal growth.
Department of Computer Science. GRE is NOT required.