George Sugihara (born in Tokyo, Japan) is currently a professor of biological oceanography in the Physical Oceanography Research Division at the Scripps Institution of Oceanography, where he is the inaugural holder of the McQuown Chair in Natural Science.[1] Sugihara is a theoretical biologist who works across a variety of fields ranging from ecology and landscape ecology, to epidemiology, to genetics, to geoscience and atmospheric science, to quantitative finance and economics.
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.[2]
Other notable research relates some of his early work on topology and assembly in ecological systems to recent work on social systems[3] and work on generic early warning signs of critical transitions that apply across many apparently different classes of systems.[4]
Sugihara has been a visiting professor at Cornell University, Imperial College London, Kyoto University and the Tokyo Institute of Technology, and was a visiting fellow at Merton College, Oxford University in 2002. He is recipient of several national and international awards, and is currently a member of the National Academy of Sciences Board on Mathematical Sciences and its Applications, a National Research Council advisory board that advises government agencies and guides the nation’s mathematics agenda to better serve national needs. He held the UC San DiegoJohn Dove Isaacs Chair in Natural Philosophy from 1990 to 1995 and has been McQuown Professor of Natural Science at SIO since 2007.
One of his most interdisciplinary contributions involves the work he developed with Robert May concerning methods for forecasting nonlinear and chaotic systems. This took him into the arena of investment banking at Deutsche Bank, where he applied these theoretical methods to forecast erratic market behavior.[9]
^Sugihara, G. 2006. Observations on new directions for understanding systemic risk in the financial sector. Federal Reserve Bank of New York and the National Academy of Science.