Faculty
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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) |
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Yuefan Deng, Professor, Ph.D., 1989, Columbia University: Molecular Dynamics; Parallel Computing |
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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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James Glimm, Distinguished Professor, Ph.D., 1959, Columbia Univ: Mathematical Physics; Nonlinear Waves |
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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 |
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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, (Chair) 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 |
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Joseph Mitchell, Professor, Ph.D., 1986, Stanford University: Computational Geometry(Chancellor's/President's Award for Excellence in Teaching) |
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Andrew Mullhaupt, Research Professor, Ph.D., 1984, New York University: Quantitative Finance
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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 |
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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, 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 |
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Wei Zhu, Deputy Chair, 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 P-138, Phone: 631-632-8374 |
























