J Doyne Farmer

Explore the complexities of financial markets and navigate systemic risk with J. Doyne Farmer, speaker, complex systems scientist, and finance expert.
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J Doyne Farmer | PepTalk Expert Speaker
J Doyne Farmer | PepTalk Expert Speaker
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J Doyne Farmer | Speaker Biography

J. Doyne Farmer is an American complex systems scientist and entrepreneur known for his contributions to chaos theory, complexity, econophysics, and finance. Born on June 22, 1952, in Houston, Texas, he grew up in Silver City, New Mexico, where he was influenced by Tom Ingerson, a young physicist and Boy Scout leader who sparked his interest in science and adventure. Farmer earned his Bachelor of Science degree in physics from Stanford University in 1973 and pursued graduate studies at the University of California, Santa Cruz, studying physical cosmology under George Blumenthal.

While still a graduate student, Farmer and his childhood friend Norman Packard formed Eudaemonic Enterprises, a group dedicated to beating the game of roulette and using the profits to establish a science commune. This venture led them to explore new areas of science, such as chaos theory, complexity, and metadynamics, and resulted in the development of the first wearable digital computer, which they used to predict roulette outcomes.

In the 1980s, Farmer was an Oppenheimer Fellow at Los Alamos National Laboratory and founded the Complex Systems Group in the Theoretical Division. He has also been affiliated with institutions such as Oxford University, where he holds the position of Baillie Gifford Professor of Complex Systems Science and directs the Complexity Economics programme at the Institute for New Economic Thinking. He is also an external professor at the Santa Fe Institute.

Throughout his career, Farmer has made significant contributions to various fields, including complex systems, dynamical systems theory, time series analysis, and theoretical biology. He co-founded Prediction Company, one of the first companies to engage in fully automated quantitative trading. His current research focuses on complexity economics, addressing issues related to systemic risk in financial markets and technological progress.

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