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George Sugihara

From Wikipedia, the free encyclopedia

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]

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  • An Introduction to Empirical Dynamics - George Sugihara
  • C. C. Mei Distinguished Speaker Series Spring 2017: Prof. George Sugihara
  • Session 1: General Concepts (Panel Discussion)

Transcription

Biography

George Sugihara studied Natural Resources at the University of Michigan, where he received a B.S. in 1973. He did something after graduation, but returned to Ann Arbor to take graduate courses in mathematics. In 1978, he matriculated at Princeton University, where he studied mathematical ecology under the supervision of Robert May, earning an M.S. in biology in 1980 and PhD in mathematical biology in 1983. While at Princeton, he was awarded the Ogden Porter Jacobus Prize, Princeton University Graduate School's highest academic honor.

Sugihara started his career as Wigner Prize Fellow at Oak Ridge National Laboratory and concurrently associate professor of Mathematics at the University of Tennessee. In 1986, he joined Scripps Institution of Oceanography (SIO). From 1997–2002, Sugihara took leave from SIO to work in Deutsche Bank on quantitative finance becoming a Managing Director.[5]

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 Diego John Dove Isaacs Chair in Natural Philosophy from 1990 to 1995 and has been McQuown Professor of Natural Science at SIO since 2007.

He is one of 18 members of the National Academies Board on Mathematical Sciences and their Applications, and was a Managing Director at Deutsche Bank.[6] He helped found Prediction Company (sold to UBS) and Quantitative Advisors LLC. He has been a consultant to the Bank of England, the Federal Reserve Bank of New York, and to the Federal Reserve System on questions of international security: systemic risk in the financial sector.[7][8]

Research interests

His research interests include complexity theory, nonlinear dynamics, Cryptic Pathology, food web structure, species abundance patterns, conservation biology, biological control, empirical climate modelling, fisheries forecasting, and the design and implementation of derivatives markets for fisheries.

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]

References

  1. ^ "UC Announcement of McQuown Chair". Archived from the original on 2009-01-12. Retrieved 2008-11-22.
  2. ^ Sugihara, G.; May, R. M. (1990). "Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series". Nature. 344 (6268): 734–741. Bibcode:1990Natur.344..734S. doi:10.1038/344734a0. PMID 2330029. S2CID 4370167.
  3. ^ Sugihara, G., and H. Ye. Cooperative Network Dynamics. Nature 458, 979-980
  4. ^ Scheffer, M; Bascompte, J; Brock, WA; Brovkin, V; Carpenter, S R; Dakos, V; Held, H; Rietkerk, M; Sugihara, G; et al. (2009). "Early-warning signals for critical transitions". Nature. 461 (7260): 53–59. Bibcode:2009Natur.461...53S. doi:10.1038/nature08227. PMID 19727193. S2CID 4001553.
  5. ^ "Scripps McQuown Chair appointment biodata". Archived from the original on 2009-01-12. Retrieved 2008-11-22.
  6. ^ Dalton, Rex (2005). "Conservation policy: Fishy futures". Nature. 437 (7058): 473–474. Bibcode:2005Natur.437..473D. doi:10.1038/437473a. PMID 16177759.
  7. ^ 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.
  8. ^ May, R.M.; Levin, S.A.; Sugihara, G. (2008). "Complex systems: Ecology for bankers". Nature. 451 (7181): 893–895. Bibcode:2008Natur.451..893M. doi:10.1038/451893a. PMID 18288170.
  9. ^ Biodata at Scripps
This page was last edited on 27 July 2023, at 10:33
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