UW Faculty Biographies
Professor R. Douglas Martin, CompFin Program Director
Martin is Professor of Statistics, Adjunct Professor of Applied Mathematics, Adjunct Professor of Finance, and Director of Computational Finance at the University of Washington, and former Chairman of the Department of Statistics. Martin was a consultant in the Mathematics and Statistics Research Center at Bell Laboratories from 1973 to 1983. In 1987 he founded Statistical Sciences to commercialize the S language for data analysis and statistical modelling in the form of S-PLUS. Subsequently he was a co-founder and Chairman of FinAnalytica, Inc., developer of the Cognity portfolio construction and risk management system, and served as CEO from 2006 to 2008. Martin has authored numerous publications on time series and robust statistical methods, and is co-author of two books: Modern Portfolio Optimization (2005), and Robust Statistics: Theory and Methods (2006). His research is on applications of modern statistical methods in finance and investment, He holds the Ph.D. in Electrical Engineering from Princeton University..
Education: EE/Physics B.S.E., Princeton; M.S. in Electrical Engineering, University of Washington; Ph.D. in Electrical Engineering, Princeton.
Professor Eric Zivot, CompFin Program Co-Director
Eric Zivot is the Robert Richards Chaired Professor in the Economics Department, Adjunct Professor of Statistics, Adjunct Professor of Finance, and Adjunct Professor of Applied Mathematics (effective September, 2011). He regularly teaches courses on econometric theory, financial econometrics and time series econometrics, and is the recipient of the Henry T. Buechel Award for Outstanding Teaching. He was an associate editor of the Journal of Business and Economic Statistics. He is co-author of Modeling Financial Time Series with S-PLUS and co-developer of S+FinMetrics, and has consulted on the use of S-PLUS and R in the finance industry. He has published in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics, and in empirical finance journals including the Journal of Empirical Finance, the Journal of Financial Markets, and the Journal of International Money and Finance. He holds the Ph.D. in Economics from Yale University.
Education: Undergraduate Economics/Statistics, University of California Berkeley; Ph.D. in Economics, Yale University.
Professor Nathan Kutz, Department of Applied Mathematics Chair
Professor Kutz was awarded the B.S. in physics and mathematics from the University of Washington (Seattle, WA) in 1990 and the PhD in Applied Mathematics from Northwestern University (Evanston, IL) in 1994. He joined the department in 1998 and became Chair in 2007.
Professor Kutz is especially interested in a unified approach to applied mathematics which includes modeling, computation and analysis. His area of current interest concerns phenomena in the optical sciences: laser dynamics and modelocking in fiber lasers, soliton propagation and mode-coupling dynamics for optical fiber communications, and pattern formation and stability of optical structures in optical parametric oscillators. Mathematically, the analysis and computation of the above phenomena naturally fall within the context of the methods of contemporary dynamical systems, nonlinear wave propagation, perturbation and asymptotic methods, and bifurcation theory applied to the underlying nonlinear differential equations and partial differential equations.
Education: B.S., Physics and Mathematics, University of Washington; Ph.D., Applied Mathematics, Northwestern University.
Professor Randy LeVeque, Department of Applied Mathematics
Professor LeVeque completed his undergraduate work at the University of California at San Diego in 1977. He obtained his doctorate from Stanford University in 1982. He has held appointments at the Courant Institute, UCLA, and ETH-Zürich, and has been on the faculty at the University of Washington since 1985.
Professor LeVeque enjoys teaching, and concentrates on classes in the fields of numerical analysis, partial differential equations, and nonlinear phenomena. He has written textbooks and lecture notes that are used at many universities.
His research interests span many areas, including numerical analysis, computational fluid dynamics, nonlinear partial differential equations, mathematical theory of conservation laws, and software development, including the CLAWPACK software for solving conservation laws and other hyperbolic systems modeling wave propagation. He is also involved in research in many applications areas, including astrophysics, geophysics, and biophysics.
Professor LeVeque is a Fellow of SIAM, the Society for Industrial and Applied Mathematics, and currently serves as Chair of the Journals Subcommittee.
Education: B.A., Mathematics, University of California at San Diego; Ph.D., Computer Science, Stanford University.
Professor Hong Qian, Department of Applied Mathematics
Professor Qian (Q=Ch) received his B.A. in Astrophysics from Peking University in China in 1982, and his Ph.D. in Biochemistry from Washington University School of Medicine in St. Louis in 1989. Subsequently, he worked as postdoctoral researcher at University of Oregon and Caltech on biophysical chemistry and mathematical biology. Before joining the University of Washington, he was an assistant professor of Biomathematics at UCLA School of Medicine. From 1992-1994, he was a fellow with the Program in Mathematics and Molecular Biology (PMMB), a NSF-funded multi-university consortium.
Professor Qian's main research interest is the mathematical approach to and physical understanding of biological systems, especially in terms of stochastic mathematics and nonequilibrium statistical physics. In recent years, he has been particularly interested in a nonlinear, stochastic, open system approach to cellular dynamics. Similar population dynamic approach can be applied to other complex systems and processes, such as those in ecology, infection epidemics, and economics. He believes his recent work on the statistical thermodynamic laws of general Markov processes can have applications in ecomomic dynamics and theory of values. In his research on cellular biology, his recent interest is in isogenetic variations and possible pre-genetic biochemical origins of oncogenesis.
Education: B.A, Astrophysics, Peking University; Ph.D., Biochemistry, Washington School of Medicine.
Professor Ka-Kit Tung, Department of Applied Mathematics
Professor Tung's current research is in time-series data analysis, in particular the analysis of past and present climate data to understand the factors that are responsible for the observed variation.
Professor Tung received his baccalaureate and master's degrees at the California Institute of Technology, both in 1972, in the field of Aeronautical Engineering. He earned his doctorate degree in Applied Mathematics at Harvard University in 1977.
Professor Tung joined the Department in late 1988 and became Department Chair in August 1993, a position he held until July 2007. He teaches courses on Mathematical Modeling, Partial Differential Equations and Investment Science. His research on climate data analysis is supported by NSF and NASA.
He is the Chief Editor of Journal of Atmospheric Sciences, and also serves as an Editor of Discrete and Continuous Dynamical Systems.
Education: B.S., Engineering Science, California Institute of Technology; M.S., Aeronautics, California Institute of Technology; Ph.D., Applied Mathematics, Harvard University.
Finance Industry Instructor Biographies
David R. Cariño, Ph.D., Research Fellow, Russell Investments
David Cariño is a research fellow at Russell Investments, where he conducts research on performance measurement and index methodologies and develops new index products. He has assisted numerous clients with multi-manager portfolio strategies and has served as director of investment strategy for Russell’s office in Sydney, Australia. David has published several influential articles on asset allocation and performance measurement since joining Russell in 1987. Most recently, he coauthored the book, Portfolio Performance Measurement and Benchmarking (McGraw-Hill, 2009), with Jon Christopherson and Wayne Ferson. He was the architect of the Russell-Yasuda Kasai model, an asset/liability management model using multi-stage stochastic programming, which received a 1993 Franz Edelman Award by The Institute of Management Sciences. His 1999 article “Combining Attribution Effects Over Time” received a Dietz Award by The Journal of Performance Measurement. He currently serves on the advisory board of that journal.
Education: B.S.E., Electrical Engineering and Mechanical Engineering, M.I.T., 1976; M.S., Electrical Engineering M.I.T., 1977; Ph.D. in Engineering Economic Systems, Stanford University, 1987.
Michael J. Dueker, Ph.D., Chief Economist, Russell Investments
Dr. Dueker writes regularly for Russell’s Market Outlook publications, forecasting the business cycle and the target federal funds rate. He developed and maintains a business cycle indicator that is updated regularly on Russell.com. He also spearheads Russell’s participation as a blue chip forecaster for both blue chip economic indicators and blue chip financial forecasts. Dueker brings state-of-the-art empirical modeling and forecasting techniques to key economic developments, the term structure of interest rates, currency markets and tactical asset allocation. He coordinates efforts to formulate globally consistent Russell views on the near-term macroeconomic outlook, including inflation and currency developments. Prior to joining Russell in 2008, Dr. Dueker was an assistant vice president and research economist at the Federal Reserve Bank of St. Louis from 1991 to 2008. His principal duties included briefing the bank president prior to monetary policy meetings and publishing articles in academic journals, such as the Journal of Econometrics, the Journal of Monetary Economics, and the Review of Economics and Statistics. Dueker served as an associate editor of the Journal of Business and Economic Statistics. He also was editor of Monetary Trends, a monthly publication of the St. Louis Fed.
Education: B.A., Mathematics, University of Oregon, 1986; M.A., Economics, Northwestern, 1987; Ph.D., University of Washington, 1991.
Mark Everitt, BSc, CFA, Managing Director, Blackrock
Mr. Everitt serves not only as Managing Director for Blackrock but also as Director of Risk Management for BlackRock Alternative Advisors, BlackRock's fund of funds platform. Mr. Everitt joined BlackRock in 2007 following the acquisition of the fund of funds business of Quellos Group, LLC. At Quellos, he was a Principal responsible for overseeing the Risk Management Group. From 2000 to 2003, he was a Managing Director for Market and Liquidity Risk with BNP Paribas, leading a team responsible for risk management in fixed income, equity and commodity products in the Americas. Mr. Everitt joined BNP Paribas London in 1995, where he was the Global Head of the Counterparty Risk and Portfolio Analysis team, developing risk methodologies and sponsoring system developments which measured counterparty exposure risk and economic capital for derivative products. From 1988 to 1995, Mr. Everitt was a Senior Consultant at Price Waterhouse Management Consultants, as well as with NatWest Markets, where he completed the Graduate Program.
Education: Mr. Everitt has passed all the qualifying examinations for an Associate membership of the Chartered Institute of Bankers in the UK. He earned a BSc degree with joint honors in geography and topographic science from the University of Wales in 1988.
Keith Ferguson, MBA, Chief Investment Officer, University of Washington
Keith Ferguson is currently the Chief Investment Officer at the University of Washington in Seattle. Mr. Ferguson has over twenty years of experience in the investment business, primarily working as a portfolio manager and research analyst. He is a member of the Seattle Society of Financial Analysts.
Education: Mr. Ferguson received a BA degree from Princeton University and an MBA degree from the University of Washington.
Jay Henniger, Ph.D., Head of Model Review and Analytics, OneWest Bank
Dr. Henniger leads the Model Review and Analytics group at OneWest Bank, a southern California bank with about $27 Billion in assets. His work focuses on quantitative analysis of models relating to valuation, interest rate risk management, credit risk, and operational risk. From 2008-2011 Henniger was a Senior Manger and Risk Model Specialist at JP Morgan Chase, coordinating credit risk economic capital modeling and providing independent review of Basel II regulatory capital models. Dr. Henniger has more than ten years of experience building and analyzing quantitative financial models with particular emphasis on models for assessing valuation and risk relating to bank assets and liabilities.Education: BS in Math/Physics, Gettysburg College; Ph.D. in Applied Mathematics, Cornell University.
Steven M. Murray, Ph.D., CFA, Director of Asset Allocation Strategies, Russell Investments
Dr. Murray is Director of Asset Allocation Strategies for Russell Investments where he is responsible for portfolio construction research as well as the development and maintenance of model portfolios. Model portfolio research informs the management of multi-asset, balanced portfolios and supports client service and sales activities across regional institutional and retail business units. Dr. Murray also serves on Russell’s endowment and foundation practice group. Murray joined Russell’s investment research and development group in 1992, when his initial responsibilities were as a team member and project technical manager of customized asset/liability management models. These models were developed for large financial institutions, including banks and insurance companies. Dr. Murray’s role included both developing theoretical algorithms and implementing large-scale stochastic programming models. Murray has led Russell’s strategic forecasting group as well as the asset/liability analysis group, and his recent Russell research commentaries include an update to “Endowments, Foundations and the Inflation Challenge”, “Are 5% Distributions an Achievable Hurdle for Foundations? Were They Ever?” and “Rebalancing and Enhanced Asset Allocation.” He is a member of the CFA Institute and the Seattle Society of Financial Analysts and INFORMS (formerly the Operations Research Society of America). Dr. Murray is a recipient of 1999, 2001 and 2008 Russell Team Excellence Awards and a 2004 Russell Leadership Award.
Education: B.A., Mathematics, Whitman College; M.S., Operations Research, Stanford University; Ph.D., Operations Research, Stanford University; CFA Charterholder, CFA Institute.
Gino Perrina, Ph.D., CFA, Global Head of Fixed Income Research, Russell Investments
Dr. Perrina is global head of fixed income research for Russell Investments. He oversees a team of analysts responsible for recommending managers to Russell’s consulting business and for inclusion in its $40B in fixed income assets around the globe. Prior to joining Russell, Perrina was a Managing Director with BlackRock Alternative Advisors. There, he was a member of the Risk Management Group focusing on absolute return strategy investments in addition to analyzing fixed income, derivative strategies and other quantitative analysis. Prior to joining the Risk Management Group, Dr. Perrina was a member of the ARS Manager Research group where he was responsible for the sourcing, performance of due diligence on and monitoring of hedge Fund managers. He joined BlackRock in 2007 following the acquisition of the fund of funds business of Quellos Group, LLC. At Quellos, Dr. Perrina served as a Manager focused on underlying manager due diligence. From 2005 to 2006, he was Director of Global Equities at Tahoma Capital, LLC, a multi-strategy fund located in Bellevue, Washington. At Tahoma Capital, Dr. Perrina managed the global equities portfolio, including strategy and trade development and execution. From 2003 to 2005, Perrina served as a Director of Investment Management at IAC/Interactive Corporation, where he managed a fixed income portfolio in excess of $3B. He began his career in 1999 as a Financial Analyst and Portfolio Manager at Microsoft Corporation.
Education: Undergraduate degree in International Business, Seattle University; MBA, Clemson University; PhD in Finance, Texas Tech University.
Garth Reistad, MA, CFA, Deputy Chief Investment Officer, University of Washington
Garth Reistad is the Deputy Chief Investment Officer with over fifteen years' experience with the investment program at the University of Washington. Prior to joining the University, he worked as an Analyst at Bank of America in San Francisco. Garth is a member of the Seattle Society of Financial Analysts and a CFA charter holder. He serves as a member of the Investment Committee for Seattle University.
Education: Mr. Reistad received a BS degree with highest honors in Economics from Montana State University and a MA in Economics from Columbia University.
Yindeng Jiang, Ph.D.,CFA, Senior Investment Analyst, University of Washington
Yindeng Jiang is a Quantitative Research Analyst with four years’ experience with the investment program at the University of Washington. He is a member of the Seattle Society of Financial Analysts and a CFA charter holder.
Education: Yindeng holds a BA degree from Peking University and a Ph.D. in Statistics from the University of Washington.
Guy Yollin, MS, Principal Consultant, R-Programming.org
Mr. Yollin is the principal consultant for r-programming.org, a professional services organization that specializes in applying the R programming language to develop solutions in computational finance, quantitative risk management, and business analytics. Prior to founding this consultancy, Yollin served as a quantitative analyst, risk manager, and R language evangelist for two different Pacific Northwest hedge funds. In between these hedge fund roles, Mr. Yollin led the quantitative finance software development team at Insightful Corporation, developers of S-PLUS and S+FinMetrics. Yollin has given numerous talks on R/S programming for financial applications and has taught graduate courses in statistical computing and financial time series analysis.
Education: Yollin holds a BS in Electrical Engineering from Drexel University and an MS degree in Computational Finance from the Oregon Health & Science University.