Faculty


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, Ph.D., 1986, Stanford University:  Combinatorial optimization, computational geometry
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 1-106, Phone: 631-632-8363


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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: Math Tower A-135, Phone: 631-632-8614 
    
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Eugene Feinberg, 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).
http://www.ams.sunysb.edu/~frey/ Office: Math Tower 1-103,  Phone: 631-473-6314

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James Glimm (Chair), 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 P-138B, Phone: 631-632-8355

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David Green, Assistant Professor, 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 1-117,  Phone: 631-632-9344
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Jiaqiao Hu, Assistant Professor, Ph.D., 2000, 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, Assistant Professor, Ph.D., 2001, University of Illinois; mesh processing, 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
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Xiaolin Li, Graduate Director, 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 P-137,   Phone: 631-632-8354
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Brent Lindquist, Distinguished Teaching Professor, Ph.D., 1982, Cornell University: Computational fluid dynamics;
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 A-137,  Phone: 631-632-8361
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Nancy Mendell, Professor, Ph.D., 1972, University of North Carolina at Chapel Hill: Biostatistics; statistical genetics
Nancy Mendell is a biostatistician with a wide range of biomedical collaborators at Stony Brook and across the country.  Her greatest expertise is in statistical genetics and genetic epidemiology. Her primary collaborators in this research are at Harvard Medical School.  One aspect of her research is identifying traits which have a different distribution in the individual affected with a disease than unaffected individuals and which have different distribution in the relatives of the affected individuals. Diseases she studies include schizophrenia, glaucoma, and malaria.
http://www.ams.sunysb.edu/~nmendell/ Office: Math Tower 1-111,   Phone: 631-632-8373


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Joseph Mitchell, Professor, Ph.D., 1986, Stanford University: Computational geometry
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. Hi 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

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John Reinitz, Professor, Ph.D., 1988, Yale University: Mathematical biology
John Reinitz is a distinguished systems biologist who uses complex mathematical models to simulate patterns of genetic expression in the developmental biology of the fruit fly, Drosophila melanogaster.  During the first 90 minutes of life, the cells in the developing fly embryo acquire specific developmental fates in a very precise spatial pattern. This physical organization is a the result of differential gene expression among a mutually interacting network of genes.  Reinitz’s research is focused on characterizing the dynamics of this genetic network.
http://flyex.ams.sunysb.edu/ Offices: Math 1-112 and Centers for Molecular Medicine 481,  Phone: 631-632-8352

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Robert Rizzo, Assistant 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 1-101, Phone: 631-632-9340



Roman Samulyak, Associate Professor, Ph.D., 1995, NJIT, Applied and Computational Mathematics, Fluid Dynamics
Roman Samulyak’s research involves mathematical modeling, numerical algorithms and simulations of complex physics processes in particle accelerators and energy research applications. He has performed numerical studies of liquids mercury targets for future particle accelerators such as the Neutrino Factory/Muon Collider and the Spallation Neutron Source, collective interactions of particles in accelerators, and fueling of thermonuclear fusion devices by the injection of cryogenic pellets.
http://www.ams.sunysb.edu/~rosamu/ Office: Math Tower 1-119, Phone: 631-632-8353  
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Alan Tucker, Undergraduate Director, Dist. 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: Math  Tower P-138,  Phone: 631-632-8365  




Ann Tucker, Visiting Associate Professor, Ph.D., 2000, Stony Brook University: Quantitative Finance
Ann Tucker joined the Applied Mathematics and Statistics department in 2009. Prior to joining, she worked for over eight years in the financial services industry as a quantitative analyst, trader (hedge funds and proprietary desk) and portfolio manager for a fund of hedge funds. Professor Tucker’s research interests include quantitative finance, systematic trading strategies, modeling equity momentum, and hedge fund and alternative beta replication. She is also the founder and President of Cold Spring Harbor Advisors, LLC, a private company that provides quantitative consulting services to the hedge fund industry.
http://www.ams.sunysb.edu/~ahtucker/ Office:  Math Tower P-136  Phone 631-632-7566

photo not avail 2		 Haipeng Xing, Assistant Professor, Ph.D., 2004, Statistics, Stanford University
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, Professor, Ph.D., 1996, University of California, Los Angeles: Biostatistics
Wei Zhu is a biostatistician whose diverse research projects include brain image analysis, design and analysis of clinical trials, genetics modeling, environmental statistics, and aviation safety analysis. She is a leader in applying multiple-objective optimal design to clinical trials and quantal dose-response experiments. Zhu’s collaborators include biomedical researchers at the SBM, NYU Medical School, Brookhaven National Lab, NYS Departments of Health and of Environmental Conservation, Merck Research Laboratories, and the Federal Aviation Administration.
http://www.ams.sunysb.edu/~zhu/index.html Office: Math Tower 1-116,  Phone: 631-632-8374


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