Marco AvellanedaMarco Avellaneda, B.S., Univ. of Buenos Aires, 1981, Ph.D. Univ. of Minnesota 1985, is Professor of Mathematics at New York University’s Courant Institute of Mathematical Sciences, where he is the Director of the Division of Mathematical Finance. He currently teaches courses in Risk Management and Derivative Securities.

Avellaneda is an internationally recognized expert in quantitative finance with more than 20 years of experience in quantitative modeling in the financial industry, including roles at Morgan Stanley, Gargoyle Strategic Investments, Capital Fund Management, and Galleon Group. He is known as the inventor of the Uncertain Volatility Model for option pricing, and his contributions to the formulation of quantitative trading strategies, such as relative-value trading, statistical arbitrage, high-frequency trading, and price forecasting. His ideas have been used broadly in Wall Street and he was recognized as Quant of the Year 2010 by Risk Magazine. Recently, he has helped design new risk-management frameworks for the central-clearing of derivatives securities, working with the Intercontinental Exchange (ICE), the CME Group, Hong-Kong Exchanges and Clearing Ltd. and BM&F Bovespa.



Rama  Contis Chair in Mathematical Finance and Professor of Mathematics at Imperial College (London), CNRS Research Scientist at Universite Paris VI and partner at Finance Concepts LLC. His research focuses on the modeling of extreme market risks, systemic risk and liquidity risk. He has previously held teaching and research positions at Ecole Polytechnique (France), Columbia University (New York), Princeton University, HEC (France) and Universite de Paris VI. He has co-authored the best selling monograph Financial Modeling with Jump Process (2004) was the Editor in Chief of the Encyclopedia of Quantitative Finance (2010). He was awarded the Louis Bachelier Prize in 2010 by the French Academy of Sciences for his research on mathematical modeling in finance.


Nicole El Karoui

NicoleELKAROUIis Professor of Applied Mathematics at Paris VI University and a well known expert in mathematical finance with numerous publications in this field and a recognized expertise in stochastic models in finance, pricing of interest rate derivatives using change of numeraire techniques, credit risk, pricing and hedging of derivative instruments and stochastic optimization theory.
Founder of one of the first graduate programs in quantitative finance, she has also accumulated more than 20 years of experience in consulting for various financial institutions and hedge funds in Europe.
Her recent work has covered optimal design of derivatives in illiquid markets, credit risk and optimal portfolio management with American capital guarantees.


Bruno Dupire

bruno dupireis Head of Quantitative Research at Bloomberg LP. After obtaining a PhD in numerical analysis, he pioneered the widely used local volatility models in 1993. He has subsequently worked on stochastic volatility modelling and Monte Carlo methods for option pricing. In 2002 he was included in the Risk Hall of Fame of the 50 most influential figures in Derivatives and Risk management.