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Raphael Douady

Professor, QF Frey Endowed Chair for Quantitative Finance
Mathematician and Economist, C.N.R.S. (French national centre for scientific research), 1982, Centre d’Economie de la Sorbonne, University of Paris 1. Academic director of LabEx ReFi. Founder & Head of Research, Riskdata S.A. 

Raphael Douady is a French mathematician and economist, specialized in financial mathematics and chaos theory. With more than fifteen years experience in the banking industry (risk management, option models, trading strategies) and thirty years research in pure and applied mathematics, Dr Douady is renowned for his highly sophisticated quantitative solutions and statistical analysis. A former fellow of Ecole Normale Supérieure in Paris, he earned his Ph.D. in 1982 in Hamiltonian dynamics and became strongly involved in Finance in 1993. Currently affiliated with University of Paris 1-Sorbonne Economic Center (CES) and the French National Center for Scientific Research (CNRS), he has also been appointed International Associate Professor at New York University Polytechnic Institute. He has lead and organized numerous academic, as well as practitioner conferences around the world, including the New York University seminar of Mathematical Finance and Paris Europlace conferences. His most recent research topics are Hedge Funds risks, for which he has developed especially suited powerful nonlinear statistical models, and systemic risk. Raphael Douady is one of the founders and the research director of Riskdata, a market-leading provider of risk management tools for investors, asset managers, hedge funds, fund of funds, and pension funds. He has been appointed as academic director of the French “Laboratory of Excellence” devoted to financial regulation (LabEx ReFi). He is also a member of the Praxis Club, a New York based think tank advising the French government on its economic policy and other related topics and on the “risk committee” of Finance Innovation, a French official entity supporting innovation in financial software.

Office: Mathematics Tower B-148
Phone: 631-632-5741


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Robert J. Frey

Research Professor, Co-Director for Quantitative Finance
Ph.D., 1986
Stony Brook University: Quantitative Finance 

Robert Frey had worked in an array of operations research related managerial positions before earning his Applied Math PhD in 1986.  Then he became involved in designing mathematically based financial trading systems, first at Morgan Stanley, then at Kepler Associates, and finally at Renaissance Technologies, from which he retired at the rank of Managing Director in 2004.  Among his many current activities, he chairs the advisory committee of the U. of Chicago Financial Mathematics program (the country’s top ranked quantitative finance program), is co-owner of a small investment bank in London, and heads a construction company. Frey just launched his own hedge fund, Frey Quantitative Strategies, with initial capital of $365 million.

Office: Math Tower 1-103
Phone: 631-473-6314


Xiaolin Li

 

 

 

 

 

 

 

Xiaolin Li

Professor, Ph.D., 1987
Columbia University: Computational Applied Mathematics

Xiaolin Li's research involves the design and development of a high resolution numerical method, the front tracking method, for the study of complex partial differential equations arising in a variety of settings, ranging from financial option prices to fluid interface instabilities. His research has involved collaborations with scientists at Los Alamos National Laboratory, Argonne National Laboratory and Brookhaven National Laboratory. 

Office: Math Tower P-137
Phone: 631-632-8354 

  

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Andrew Mullhaupt

Research Professor, Ph.D., 1984
New York University: Quantitative Finance

Andrew Mullhaupt's original research interests involved partial differential equations and linear algebra. He has worked on Wall Street for over 20 years designing mathematically based trading systems, first at Morgan Stanley, then at Renaissance Technologies, and most recently at S A C Capital where he was Director of Research for the SAC's Meridian Fund.

Office: Mathematics Tower B-148
Phone: 631-632-5479

 

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Haipeng Xing

Associate Professor, Ph.D., 2005
Stanford University:Financial Statistics, Change Point  Methods

Haipeng Xing is a statistician whose research is focused on: (i)  change-points detection, parameter estimation and adaptive control  problems and their applications in engineering, economics and  genetics; (ii) statistical models and methods in financial econometrics  and engineering; and (iii) time series modeling.  He is co-author, with T.L. Lai of Stanford, of a widely used graduate textbook on financial statistics. 

Office: Math Tower 1-102
Phone: 631-632-1892

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