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Nassim Taleb

Nassim Nicholas Taleb
Taleb mug.JPG
Born 1960 (age 56–57)
Amioun, Lebanon
Residence United States, United Kingdom, and Lebanon
Nationality Lebanese (Antiochian Greek Origin) and American
Fields Decision theory, risk, probability
Institutions New York University Tandon School of Engineering (current May 2015), University of Massachusetts Amherst, Courant Institute of Mathematical Sciences
Alma mater University of Paris (BS, MS)
Wharton School, University of Pennsylvania (MBA)
University of Paris (Dauphine) (PhD)
Thesis The Microstructure of Dynamic Hedging (1998)
Doctoral advisor Hélyette Geman
Known for Applied epistemology, Antifragility, Black swan theory
Website
fooledbyrandomness.com

Nassim Nicholas Taleb (Arabic: نسيم نقولا طالب‎‎, alternatively Nessim or Nissim, born 1960) is a Lebanese-American essayist, scholar, statistician, former trader, and risk analyst, whose work focuses on problems of randomness, probability, and uncertainty. His 2007 book The Black Swan was described in a review by the Sunday Times as one of the twelve most influential books since World War II.

Taleb is an author, has been a professor at several universities, serving as Distinguished Professor of Risk Engineering at the New York University Tandon School of Engineering since September 2008, and as co-editor in chief of the academic journal, Risk and Decision Analysis since September 2014. He has also been a practitioner of mathematical finance, a hedge fund manager, a derivatives trader and is currently listed as a scientific adviser at Universa Investments.

He criticized the risk management methods used by the finance industry and warned about financial crises, subsequently profiting from the late-2000s financial crisis. He advocates what he calls a "black swan robust" society, meaning a society that can withstand difficult-to-predict events. He proposes antifragility in systems, that is, an ability to benefit and grow from a certain class of random events, errors, and volatility as well as "convex tinkering" as a method of scientific discovery, by which he means that decentralized experimentation outperforms directed research.


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