George Sugihara
George Sugihara | |
|---|---|
Sugihara in 2015 | |
| Born | |
| Alma mater | Princeton University |
| Known for | Empirical dynamic modeling |
| Scientific career | |
| Fields | Algebraic topology, network theory, nonlinear dynamics, chaotic systems, causality, ecology, medicine, genomics, finance, atmospheric and earth science, fisheries |
| Institutions | Scripps Institution of Oceanography, University of California San Diego Cornell University Imperial College London Kyoto University Tokyo Institute of Technology Oxford University |
| Doctoral advisor | Robert May |
| Doctoral students | Alistair Hobday, Chi-Hao Hsieh, Charles Perretti, Hao Ye, Ethan Deyle, Alfredo Giron-Nava |
| Other notable students | DJ Patil, Louis-Felix Bersier, Martin Casdagli, Franc Courchamp |
| Website | https://deepeco.ucsd.edu/ |
George Sugihara is a professor of biological oceanography and complex systems at the Scripps Institution of Oceanography where he is the inaugural holder of the McQuown Chair in Natural Science.
His work involves inductive theoretical approaches to understanding nature from observational data. The general approach is different from most theory and involves minimalist inductive theory – Inductive data-driven explorations of nature using minimal assumptions. The aim is to avoid inevitable assumptions of deductive first-principle models and produce an understanding that passes the validation test of out-of-sample prediction. His initial work on fisheries as complex, chaotic systems led to work on financial networks and prediction of chaotic systems.