Faculty
Hongshik Ahn, Professor, Ph.D., 1992, University of Wisconsin: Biostatistics; Survival Analysis Hongshik Ahn’s specialty is treestructured 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, 1114, Phone: 6316328372 


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) 


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 1119, Phone: 6316321822 



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 manmade 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 1110, Phone: 6316327189 

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 1118, Phone: 6316328369 




James Glimm, Distinguished Professor, Ph.D., 1959, Columbia Univ: Mathematical Physics; Nonlinear Waves 




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 simulationbased 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 1107, Phone: 6316328239 

Xiangmin Jiao, Associate Professor, Ph.D., 2001, University of Illinois; Numerical Analysis, Super Computing Jim Jiao's research interests are in highperformance geometric and numerical computing in science and engineering. His work focuses on developing efficient and robust algorithms and highperformance software implementations for dynamic surfaces, mesh optimization, applied computational and differential geometry, and multiphysics 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 1115, Phone: 6316324408 

Pei Fen Kuan, Assistant Professor, Ph.D., 2009, University of Wisconsin, Madison; Statistical Genomics 

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 RayleighTaylor instability and the RichtmyerMeshkov 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 1122, Phone: 6316328354 

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 P138B, Phone: 6316328361 



Joseph Mitchell, (Chair) Distinguished Professor, Ph.D., 1986, Stanford University: Computational Geometry(Chancellor's/President's Award for Excellence in Teaching) 

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




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 drugbinding for known systems and to make new predictions. http://www.ams.sunysb.edu/~rizzo/ Office: Math Tower 1111, Phone: 6316329340 

Roman Samulyak, 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 1108, Phone: 6316328353 


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 1103, Phone: TBA 
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: 6316328365 
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, genomewide association study, nextgeneration sequencing data analysis (WGseq, RNAseq, ChIPseq), molecular pathway analysis, bioinformatics and applied longitudinal data analysis. http://www.ams.sunysb.edu/~songwu/ Office: Math Tower 1114, Phone: TBA 

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) changepoints 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 coauthor, with T.L. Lai of Stanford, of a major textbook on financial statistics. http://www.ams.sunysb.edu/~xing/ Office: Math Tower 1102, Phone: 6316321892 



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). 
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/coauthor 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 20072009 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 cofounder 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). 