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George Sugihara
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.
Research interests include complexity theory, nonlinear dynamics, ecology, cryptic pathology, food web structure, species abundance patterns, conservation biology, biological control, neuroscience, epidemiology, geoscience, empirical climate modelling, quantitative finance, economics, fisheries forecasting, and the design and implementation of derivatives markets for fisheries.
Sugihara studied natural resources at the University of Michigan, where he received a BS in 1973. At Princeton University he studied mathematical ecology under Robert May earning a MS in biology in 1980 and PhD in mathematical biology in 1983.
While at Princeton he made important contributions to species abundance by identifying regularities in hierarchical community structure expressed by sequentially divided niches. The hierarchical structure, representing a minimal form of community structure, derives from evolutionary and ecological drivers generating species diversity accounting for observed abundance structures.
Sugihara began his career as the Wigner Prize Fellow at Oak Ridge National Laboratory and concurrently associate professor of Mathematics at the University of Tennessee. A notable contribution was the topological / graph theoretical proof that increasing food web species specialization combined with the rigid circuit property leads to the rule that species enter communities by attaching within individual guilds or cliques rather than across multiple guilds.
In 1986, he joined Scripps Institution of Oceanography (SIO), holding the UC San Diego John Dove Isaacs Chair in Natural Philosophy from 1990 to 1995. Since 2007 he has been the McQuown Professor of Natural Science at Scripps.
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 served as a member of the National Academy of Sciences Board on Mathematical Sciences and its Applications.
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George Sugihara
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.
Research interests include complexity theory, nonlinear dynamics, ecology, cryptic pathology, food web structure, species abundance patterns, conservation biology, biological control, neuroscience, epidemiology, geoscience, empirical climate modelling, quantitative finance, economics, fisheries forecasting, and the design and implementation of derivatives markets for fisheries.
Sugihara studied natural resources at the University of Michigan, where he received a BS in 1973. At Princeton University he studied mathematical ecology under Robert May earning a MS in biology in 1980 and PhD in mathematical biology in 1983.
While at Princeton he made important contributions to species abundance by identifying regularities in hierarchical community structure expressed by sequentially divided niches. The hierarchical structure, representing a minimal form of community structure, derives from evolutionary and ecological drivers generating species diversity accounting for observed abundance structures.
Sugihara began his career as the Wigner Prize Fellow at Oak Ridge National Laboratory and concurrently associate professor of Mathematics at the University of Tennessee. A notable contribution was the topological / graph theoretical proof that increasing food web species specialization combined with the rigid circuit property leads to the rule that species enter communities by attaching within individual guilds or cliques rather than across multiple guilds.
In 1986, he joined Scripps Institution of Oceanography (SIO), holding the UC San Diego John Dove Isaacs Chair in Natural Philosophy from 1990 to 1995. Since 2007 he has been the McQuown Professor of Natural Science at Scripps.
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 served as a member of the National Academy of Sciences Board on Mathematical Sciences and its Applications.