Faculty

Teaching Excellence Awards


Hongshik Ahn, Professor, Ph.D., 1992, University of Wisconsin: Biostatistics; Survival Analysis

Hongshik Ahn’s specialty is tree-structured regression modeling for censored survival data.  After earning his Ph.D., he initially worked as a biostatistician at the National Center for Toxicological Research (NCTR) on animal carcinogenicity, developmental toxicology, and drug stability analysis. He came to Stony Brook in 1996, but he continued working on NCTR problems while developing new collaborations with Stony Brook biomedical researchers.  His research has been funded by NIH.
http://www.ams.sunysb.edu/~hahn/ Office: Math Tower, 1-114,  Phone: 631-632-8372

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Estie Arkin, Professor and Undergraduate Program Director, Ph.D., 1986, Stanford University:  Combinatorial Optimization, Computational Geometry (Chancellor's/President's Award for Excellence in Teaching)
Estie Arkin's primary research area is the design and analysis of algorithms that arise in network optimization, computational geometry, graph theory, scheduling, robotics, geographic information systems, computer graphics, manufacturing, and computer vision. Arkin is interested in analysis of worst-case complexity and approximation algorithms. 
http://www.ams.sunysb.edu/~estie/estie.html Office: Math Tower P-134B, Phone: 631-632-8363


Xinyun Chen, Assistant Professor, Ph.D., 2013, Columbia University:
Xinyun Chen's research interests are focused on modeling and computation of stochastic systems with applications in financial and service engineering. She has been working on data-based modeling of order book dynamics in high frequency trading, stochastic asymptotic analysis of insurance models and Monte Carlo methods for stochastic differential equations.
http://www.ams.stonybrook.edu/~chenxy/ Office: Math Tower B-148, Phone: 631-632-5741


Evangelos Coutsias, Professor, Ph.D., 1979, California Institute of Technology:
Evangelos Coutsias' research has focused on the modeling of nonlinear systems and continua, using techniques of applied mathematics on problems motivated from applied physics, engineering and biology. These include
asymptotics and perturbation methods for the study of stability and bifurcation phenomena in plasma physics, biology and fluid mechanics; high accuracy numerical spectral methods for solving PDEs arising in continuum mechanics; and robust numerical methods for systems of multivariate polynomials for the solution of problems of inverse kinematics arising in molecular structure studies. His present work is on the development of computational methods for the study of protein structure, especially on the kinematic geometry of protein backbones subject to constraints. Current interests focus on the refinement of protein structure and the development of computational geometric methods for the efficient exploration of macromolecular shapespaces with application to protein design and drug discovery.
Office: Math Tower 1-119, Phone: 631-632-1822

Y.Deng


Yuefan Deng, Professor, Ph.D., 1989, Columbia University: Molecular Dynamics; Parallel Computing
Yuefan Deng’s research involves developing parallel computing algorithms for a wide range of scientific problems.  In particular, he is a specialist in parallelizing the optimization technique of simulated annealing.  Deng has served as a consultant to IBM in refining the Deep Blue chess program and designing the Blue Gene supercomputers and so Craig Venter, who used ‘shot-gun sequencing’ techniques with parallel computers to complete the Human Genome Initiative several years ahead of schedule.
http://www.ams.sunysb.edu/~deng/index.html Office: Physics A-135, Phone: 631-632-8614 
    

photo not avail 2 Eugene Feinberg, Distinguished Professor, Ph.D., 1979, Vilnius University: Operations Research
Eugene Feinberg works in stochastic methods of operations research and their industrial applications.  He is one of the world leaders in Markov decision processes and its application to telecommunication, manufacturing, transportation, service and to other man-made systems. He is one of the country’s experts on optimizing electric energy transmission and forecasting energy demand. Dr. Feinberg previously held appointments at Moscow Institute of Transport Engineering (Russia ), Yale University, and MIT.
http://www.ams.sunysb.edu/~feinberg/ Office: Math Tower 1-110,  Phone: 631-632-7189
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Stephen Finch, Professor, Ph.D., 1973, Princeton University: Applied Statistics
Stephen Finch is an applied statistician whose major areas of interest are statistical genetic epidemiology and applied longitudinal data analysis. Statistical genetic epidemiology studies the genetics of complex human traits, such as bipolar disorder or schizophrenia. One of the major longitudinal studies, with faculty in the Stony Brook Department of Psychiatry, concerns the effects of medications on the course of mental illnesses.
http://www.ams.sunysb.edu/~finchs/ Office:  Math Tower 1-118, Phone: 631-632-8369
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Robert J. Frey,
Research Professor, Ph.D., 1986, Stony Brook University: Quantitative Finance
Robert Frey had worked in an array of operations research related managerial positions before earning his PhD as a part-time student 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.
http://www.ams.sunysb.edu/~frey/ Office: Math Tower 1-103,  Phone: 631-473-6314

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James Glimm, Distinguished Professor, Ph.D., 1959, Columbia Univ: Mathematical Physics; Nonlinear Waves
James Glimm has made fundamental contributions to nonlinear analysis—winning the Amer. Math. Soc. Steele Prize— to quantum field theory—winning the American Physical Soc. Heineman Prize—and to computational fluid dynamics.  The Department of Energy adopted Glimm’s front-track methodology for shock-wave calculations, e.g., simulating weapons performance.  Glimm is a member of the Nat. Academy of Science and Academia Sinica and is a recipient of the National Medal of Science.  In 2007-08, he was President of the Amer. Math Soc.
http://www.ams.sunysb.edu/~glimm/glimm.html
Office: Math Tower 1-121, Phone: 631-632-8355

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David Green, Associate Professor and Graduate Program Director, Ph.D., 2000, MIT, Computational Biology; Protein Interactions and Networks

David Green's research is focused on computational studies of protein interactions.  Key areas include: Understanding the determinants of specificity in protein interactions through biomolecular simulation; development and application of algorithms for the design of binding interfaces; and development of tools for the study of protein-carbohydrate interactions, with a focus on the glycobiology of HIV-1 infection.  His research combines techniques from applied mathematics and models from biophysical chemistry to solve problems in biology and medicine.
http://www.ams.sunysb.edu/~dfgreen
  Office: Math Tower P-137,  Phone: 631-632-9344



Robert Harrison, Professor and Endowed Director of Institute for Advanced Computational Science, Ph.D, 1984, University of Cambridge; Theoretical Chemistry
Robert Harrison's research interests are focused on scientific computing and the development of computational chemistry methods for the world's most technologically advanced supercomputers. http://www.ams.sunysb.edu/~Robert J Harrison Office: Math Tower, 2-108, Phone: 631-632-8121

 

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Jiaqiao Hu, Associate Professor, Ph.D., 2006, University of Maryland College Park: Operations Research

Jiaqiao Hu's research is focused on designing and analyzing randomized algorithms for solving Markov decision processes and global optimization problems.  He has been investigating new sampling and simulation-based techniques to overcome the computational difficulties associated with traditional methods, where sampling and simulation techniques are used not only to avoid enumerating the entire solution space but also to resolve the issue of the unavailability of explicit mathematical models of the underlying systems.
http://www.ams.sunysb.edu/~jqhu/ Office: Math Tower 1-107,  Phone: 631-632-8239
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Xiangmin Jiao, Associate Professor, Ph.D., 2001, University of Illinois; Numerical Analysis, Super Computing

Jim Jiao's research interests are in high-performance geometric and numerical computing in science and engineering. His work focuses on developing efficient and robust algorithms and high-performance software implementations for dynamic surfaces, mesh optimization, applied computational and differential geometry, and multi-physics coupling, for applications involving heterogeneous physical systems, such as simulations of solid rocket motors, climate modeling, biological organs, and computer animations.
http://www.ams.sunysb.edu/~jiao/ Office: Math Tower 1-115,  Phone: 631-632-4408

Pei Fen Kuan, Assistant Professor, Ph.D., 2009, University of Wisconsin, Madison; Statistical Genomics
Pei Fen Kuan's research interests focus on statistical and computational issues arising from the problems in genome biology. Many of her research projects center around tiling arrays and the next generation sequencing platforms. Her research activities have been directed at developing statistical methodologies to facilitate the analysis, integration and interpretation of high-throughput omics data.
http://www.ams.sunysb.edu/~pfkuan/ Office: Math Tower 1-106, Phone: 631-632-1419

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

Xiaolin Li's major research objective is to design and implement a high resolution numerical method, the front tracking method, for the study of fluid interface instabilities such as the Rayleigh-Taylor instability and the Richtmyer-Meshkov instability. His research has involved collaborations with scientists at Los Alamos National Laboratory, Argonne National Laboratory and Brookhaven National Laboratory and the software has been used for research of various scientific problems such as the inertial confinement fusion and the study of fuel injection nozzle.
http://www.ams.sunysb.edu/~linli/
Office: Math Tower 1-122,   Phone: 631-632-8354
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Brent Lindquist, Professor, Ph.D., 1982, Cornell University: Computational Fluid Dynamics;
(Chancellor's/President's Award for Excellence in Teaching)
Brent Lindquist's research is focused on: i) our understanding of the fundamental properties of porous media and the relation of these properties to fluid motion; and ii) establishing limits on the accuracy of fluid movement prediction given practical limits on our understanding of the medium properties.  His research has unexpectedly been used by neuroscientists at Cold Spring Harbor Lab. His research tools involve numerical solution of nonlinear PDEs of mixed type, statistics/probability theory, elements of computational geometry, and image analysis.
http://www.ams.sunysb.edu/~lindquis/lindquist.html
Office: Math Tower P-138B,  Phone: 631-632-8361



Tom MacCarthy, Assistant Professor, Ph.D. University College London, 2005: Computational Biology;

Tom MacCarthy’s research uses computational modeling to study fundamental biological questions in both immunology and evolutionary biology. In Computational Immunology he uses computational and statistical methods to better understand the mechanisms underlying the generation of antibody diversity in response to infection and disease. In Evolutionary Systems Biology he uses modeling to study the evolution of gene regulatory networks with the aim of revealing the forces driving changes in developmental networks and the causes underlying the evolution of robustness, or tolerance to failure, in these networks.
http://www.ams.sunysb.edu/~maccarth/people.shtml Office: Math Tower 1-101,   Phone: 2-1739

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Joseph Mitchell, (Chair) Distinguished Professor, Ph.D., 1986, Stanford University: Computational Geometry(Chancellor's/President's Award for Excellence in Teaching)
Joe Mitchell is one of the country’s leaders in computational geometry, which studies the design, analysis, and implementation of efficient algorithms to solve geometric problems. His particular interest is applications to problems in computer graphics, visualization, robotics, manufacturing, geographic information systems, and computer vision. In the 1990’s, he chaired the National Science Foundation advisory committee in computational geometry. A major current application is helping air traffic controllers route airplanes around bad weather.
http://www.ams.sunysb.edu/~jsbm/jsbm.html Office: Math Tower 1-109, Phone: 631-632-8366

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.
http://pw1.netcom.com/~amullhau/ Office: Mathematics Tower B-148,  Phone: 631-632-5479

 


Svetlozar(Zari) Rachev,
Professor, , Co-Director for Quantitative Finance
Ph.D., 1979, Lomonosov University(Moscow): Mathematics
Doctor of Science., 1986, Steklov Mathematical Institute (Moscow): Physics and Mathematics
Rachev is Professor in the Department of Applied Mathematics at Stony Brook University in New York. In addition, he will hold the title of Frey Family Foundation Professor in Quantitative Finance. Dr. Rachev is one of the world’s foremost authorities in the application of heavy-tailed distributions in finance. His 30 years of research were culminated in three recently awarded patents at FinAnalytica, where he serves as Chief Scientist. He was a co-founder and President of Bravo Risk Management Group, originator of the Cognity methodology, acquired by FinAnalytica. In addition to his Chair-Professorship at Karlsruhe Institute of Technology, he is Professor Emeritus at the University of California, Santa Barbara in the Department of Statistics and Applied Probability. Rachev is the author of 14 books and over 300 published articles on finance, econometrics, probability, statistics and actuarial science.
http://www.ams.sunysb.edu/~rachev Office: Mathematics Tower B-148,  Phone: 631-632-5741


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Robert Rizzo, Associate Professor, Ph.D., 2001, Yale University: Computational Biology; Drug Design

Rob Rizzo works in Computational Structural Biology. His research group seeks to understand the atomic basis for molecular recognition for specific biological systems involved in human disease such as HIV/AIDS, cancer, and influenza with the ultimate goal of developing new and improved drugs.  Computational methods are used to model how molecules interact at the atomic level with a given drug target.  The resultant 3D structural and energetic information is used to quantify and rationalize drug-binding for known systems and to make new predictions.
http://www.ams.sunysb.edu/~rizzo/
Office: Math Tower 1-111, Phone: 631-632-9340


Roman Samulya
k, Professor, Ph.D., 1999, NJIT: Applied and Computational Mathematics, Hydro- and Electrodynamics
Roman Samulyak’s research involves mathematical modeling, numerical algorithms, and high performance computing. He works on the development of numerical algorithms based on particles and meshes for hydro- and magnetohydrodynamics, electrodynamics, and solid dynamics, in particular brittle fracture. His applications include processes in particle accelerators, high energy density physics, and nuclear fusion and fission devices.
http://www.ams.sunysb.edu/~rosamu/ Office: Math Tower 1-108, Phone: 631-632-8353  

 

Allen Tannenbaum, Professor, Ph.D., 1976, Harvard University:
Allen Tannenbaum research focuses on Medical image analysis; computer vision; image processing; systems and control; controlled active vision; mathematical systems theory; bioinformatics; computer graphics.
http://www.cs.stonybrook.edu/~arobertan Office: Math Tower 1-103, Phone: TBA


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Alan Tucker
, Distinguished Teaching Professor, Ph.D., 1969, Stanford University: Combinatorics
Alan Tucker started his career at Stony Brook doing research in graph theory and combinatorial algorithms.  Increasingly over the past 20 years he has become more and more engaged in projects about school and collegiate mathematics education.  He has been the lead author of four major reports from the Mathematical Association of America, including The Mathematical Education of Teachers (2001).  He has run a number of large educational grants at Stony Brook and for the Math Association.
http://www.ams.sunysb.edu/~tucker/homepage.html Office: Physics A137,  Phone: 631-632-8365  
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Song Wu, Assistant Professor, Ph.D., 2008, University of Florida: Statistics
Song Wu’s research focuses mainly on statistical genetics by developing new methodologies to unravel the genetics underlying complex traits. He had received intensive training in both Statistics and Genetics, and is working towards bridging these two fields. His specific research areas include QTL mapping, linkage mapping, linkage disequilibrium mapping, microarray data analysis, genome-wide
association study, next-generation sequencing data analysis (WG-seq, RNA-seq, ChIP-seq), molecular pathway analysis, bioinformatics and applied longitudinal data analysis.
http://www.ams.sunysb.edu/~songwu/ Office: Math Tower 1-114, Phone: TBA


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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 major textbook on financial statistics.
http://www.ams.sunysb.edu/~xing/ Office: Math Tower 1-102,  Phone: 631-632-1892


Yan Yu, Research Assistant Professor, Ph.D., 2004, Stony Brook University: Computational Applied Mathematics

Yan Yu's primary research area is in the field of computational fluid dynamics. Key areas include: analyzing chaotic flow fields of turbulent mixing, uncertainty quantification, numerical simulations of fluid interface instabilities such as the Rayleigh-Taylor instability and the Richtmyer-Meshkov instability. Her research has involved collaborations with scientists at Los Alamos National Laboratory and Brookhaven National Laboratory. She is also the SPIR coordinator of the department.
http://www.ams.sunysb.edu/~yan2000/ Office: Math Tower 1-104, Phone: 631-632-9360


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Wei Zhu, Deputy Chair, Professor, Ph.D., 1996, University of California, Los Angeles: Biostatistics

Wei Zhu is a statistician whose diverse research projects include design and analysis of experiments (for dose response studies and clinical trials), longitudinal and contemporaneous pathway discovery and analysis (for biological pathways and financial networks), errors in variable modeling (for measurement platform/instrument comparisons and calibrations), and robust regression analysis. Her former students have taken positions in academia and in a broad range of industry as quality control managers, biostatisticians, risk managers and financial analysts. Professor Zhu is also affiliated with the SBU Center for Finance (http://www.stonybrook.edu/commcms/clusterhires/clusters/cf.html). 
http://www.ams.sunysb.edu/~zhu/index.html Office: Math Tower P-138,  Phone: 631-632-8374


Visiting Faculty


Sergio Focardi, Visiting Professor, Ph.D., 2009, University of Karlsruhe, Germany: Mathematical Finance

Before joining Stony Brook University as Visiting Professor, Sergio Focardi was Professor of Finance at the French business school EDHEC (Nice). His research interests include the study of factor models of equity prices, explaining and predicting market trends, trend reversals and market crashes, economic models with multiple inflation rates, and financial economics with artificial markets. The underlying theme of his research agenda is economics as a complex system with multiple interacting agents.

Sergio is the author/co-author of  numerous papers that have appeared in major journals and books published by Wiley and the Research Foundation of CFA Institute. Among the latter are the following titles: Investment Management: A Science to Teach or an Art to Learn? (2014), Investment Management after the Global Financial Crisis (2010), Challenges in Quantitative Equity Management (2008), and Trends in Quantitative Finance (2006).  The most recent  CFA Institute monograph Investment Management: A Science to Teach or an Art to Learn? had as its objective to explore the need to rethink how we teach (and practice) investment management following the 2007-2009 financial crisis. Sergio is on the Editorial Board of the Journal of Portfolio Management.

An engineer by training, Sergio started his career in scientific computing, where most recently he held the position of Managing Director of the Italian subsidiary of the supercomputer firm Control Data. Sergio was a co-founder of CINEF, a multidisciplinary research center in Econophysics at the University of Genoa (Italy), and of the consulting firm The Intertek Group (Paris), which consults major pension funds and financial institutions.

Sergio holds a degree in Electronic Engineering from the University of Genoa and a PhD in Financial Mathematics from the University of Karlsuhe (Germany). 

Curriculum Vitae


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