Faculty

Our top-quality faculty bring deep experience and teaching excellence to the program.

Aleksandr Aravkin

Aleksandr Aravkin is an assistant professor in the Department of Applied Mathematics, a data science fellow at the UW eScience Institute and an adjunct professor of mathematics and statistics. Aravkin works on theoretical and practical problems connected to data science, including theoretical work in convex and variational analysis, robust statistical modeling and algorithm design with applications to high-dimensional inference, machine learning and inverse problems. He was a postdoctoral fellow from 2010 to 2012 at the University of British Columbia, where he worked on robust approaches for seismic inverse problems. He then served as a research staff member at the IBM Thomas J. Watson Research Center and as an adjunct professor in computer science and industrial engineering and operations research at Columbia University. He joined the UW in 2015. Aravkin earned his doctorate in mathematics (optimization) at the University of Washington.

Profile | saravkin@uw.edu |206-685-5088


Ivana Bozic

Ivana Bozic is an assistant professor in the Department of Applied Mathematics. She develops mathematical and computational models to study the evolutionary dynamics of cancer. Her research combines mathematical biology, stochastic processes, and analysis of genomic and clinical data. Bozic is interested in developing a quantitative framework of cancer evolution that can be used to evaluate treatment and prevention strategies in specific cancer settings. She holds a doctorate in mathematics from Harvard University. 

Profileibozic@uw.edu | 206-543-5077


Bernard Deconinck

Bernard Deconinck is a professor in and chair of the Department of Applied Mathematics and an adjunct professor in the Department of Mathematics. He is interested in applying mathematics to physical problems, especially nonlinear wave phenomena. His research has included the study of problems related to Bose-Einstein condensates, fluid mechanics, plasma physics and lattice dynamics using a variety of mathematical techniques from such fields as integrable systems and solitons, dynamical systems, Hamiltonian dynamics, Riemann surfaces and algebraic geometry, Lie algebras, complex variables, asymptotics and perturbation theory. Deconinck earned a doctorate in applied mathematics at the University of Colorado, Boulder.

Profiledeconinc@uw.edu | 206-543-6069


Anne Greenbaum

Anne Greenbaum is a professor in the Department of Applied Mathematics. She focuses her research in the area of numerical analysis, especially numerical linear algebra and matrix theory. She previously worked as a mathematician at Lawrence Livermore National Laboratory and as a research professor at the Courant Institute at New York University. Greenbaum is a fellow of the Society for Industrial and Applied Mathematics. She is the author of Iterative Methods for Solving Linear Systems and the coauthor of Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms. She earned her doctorate in mathematics at the University of California at Berkeley.

Profile greenbau@amath.washington.edu | 206-543-1175


Bamdad Hosseini

Bamdad Hosseini is an assistant professor in the Department of Applied Mathematics. His research interests lie at the intersection of applied mathematics, probability theory and statistics focusing on the analysis and development of computational methods for extracting meaningful information from data. Hosseini is particularly interested in the rigorous theoretical understanding of machine learning algorithms and incorporation of uncertainty quantification in data science tasks. Hosseini served as a senior postdoctoral fellow and a von Kármán Instructor at California Institute of Technology and obtained a Ph.D. in mathematics from Simon Fraser University.

Profile bamdadh@uw.edu | 206-543-5493


Jingwei Hu

Jingwei Hu is an associate professor in the Department of Applied Mathematics. Her research interests lie in numerical analysis and scientific computing, in particular, the development of numerical methods for multiscale kinetic equations arising in various science and engineering applications. Before joining the UW in 2021, she was an associate professor of mathematics and aerospace engineering at Purdue University. At Purdue, she received the Teaching for Tomorrow Award. Her research is supported by the National Science Foundation (NSF) under a Faculty Early Career Development Program (CAREER) award and a Computational and Data-Enabled Science and Engineering (CDS&E) award. She serves on the editorial boards of mathematical journals including the new flagship journal of the Association for Women in Mathematics - La Matematica. Hu earned a doctorate in applied mathematics from University of Wisconsin-Madison.

Profile | hujw@uw.edu | 206-543-5493


Mark Kot

Mark Kot is an associate professor in the Department of Applied Mathematics and a faculty member in the interdisciplinary graduate program in Quantitative Ecology and Resource Management. His research is at the interface of applied mathematics and population ecology. He models the dynamics of biological populations and has worked on the behavior of integrodifference equations — discrete-time, continuous-space models for the growth and spread of biological populations. Kot is the author of two books: Elements of Mathematical Ecology and A First Course in the Calculus of Variations. He holds a master's degree in theoretical and applied mechanics from Cornell University and in applied mathematics from the University of Arizona, and a master's and doctorate in ecology and evolutionary biology from the University of Arizona.

Profilemark_kot@comcast.net​ | 206-543-0908


J. Nathan Kutz

Nathan Kutz is a professor in the Department of Applied Mathematics and an adjunct professor in the Department of Electrical Engineering and the Department of Physics. He is interested in a unified approach to applied mathematics that includes modeling, computation and analysis. His recent research focuses on phenomena in the optical sciences: laser dynamics and mode-locking 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. Kutz earned a doctorate in applied mathematics from Northwestern University. 

Profilekutz@uw.edu | 206-685-3029


Tim Leung

Tim Leung is the Boeing endowed chair professor of applied mathematics, director of the Computational Finance & Risk Management (CFRM) program, and a core faculty member in the Quantitative Ecology & Resource Management (QERM) program. Before joining the UW, he was a professor at Johns Hopkins University and Columbia University​.​  

Leung’s research is in financial mathematics and optimal stochastic control. He has worked on problems in derivatives pricing, algorithmic trading, credit risk, ​executive compensation ​and exchange-traded funds (ETFs) with National Science Foundation grants. Leung has published over 60 articles and written four books about mean reversion trading, ETFs, employee stock options and futures trading. In 2016, he won the Emerald Literati Network​ Award. Leung is the founding editor of Modern Trends in Financial Engineering​ and serves on the editorial board of a number of journals. ​He has served as the chair for the Institute for Operations Research and the Management Sciences finance section and vice chair for the Society for Industrial and Applied Mathematics (SAIM) activity group on financial mathematics & engineering (SIAG-FME). He obtained his Ph.D. in operations research and financial engineering at Princeton University.

Profiletimleung@uw.edu | 206-543-5493


Matthew Lorig

Matt Lorig is an assistant professor and graduate program coordinator in the Department of Applied Mathematics. Lorig's research focuses on solving problems that arise in the financial industry, and he has written on such topics as derivative pricing, hedging, implied volatility and portfolio management. His research combines tools from stochastic analysis, spectral theory and perturbation methods for partial differential equations (PDEs). Of late, Lorig has been particularly interested in model-free approaches to pricing and hedging path-dependent derivative assets. He earned his doctorate in physics from the University of California at Santa Barbara.

Profilemlorig@uw.edu | 206-543-5493


Andrew Lumsdaine

Andrew Lumsdaine is the chief scientist at the Northwest Institute for Advanced Computing (NIAC), as well as a laboratory fellow in the Applied Mathematics, Computing and Data Division at the Pacific Northwest National Laboratory (PNNL). He also serves as an affiliate professor in the Paul G. Allen School of Computer Science & Engineering. Lumsdaine is an internationally recognized expert in the area of high-performance computing and has made contributions in the areas of high-performance computing (HPC) systems, programming languages, software libraries, performance modeling, computational photography and plenoptic cameras. He has also contributed important software artifacts to the research community, especially in the area of message passing interface (MPI). He holds a doctorate in computer science and electrical engineering from the Massachusetts Institute of Technology.

al75@uw.edu


Eric Shea-Brown

Eric Shea-Brown is an associate professor in the Department of Applied Mathematics and an adjunct associate professor in the Department of Physiology and Biophysics. His interests span a wide set of topics in mathematical neuroscience and biological dynamics. His recent work focuses on optimal signal processing and decision-making in simple neural networks, dynamics of neural populations in interval timing tasks, correlations and reliability in simple neural circuits, and properties of oscillator networks with generalized symmetries. Previously Shea-Brown was a postdoctoral fellow in mathematical neuroscience at the Courant Institute and Center for Neural Science at New York University. He studied engineering physics at the University of California at Berkeley, and earned a doctorate in applied and computational mathematics at Princeton University.

Profileetsb@amath.washington.edu | 206-685-6635


Eli Shlizerman

Eli Shlizerman is an assistant professor in the Department of Applied Mathematics. His research combines dynamical systems theory with data analysis to produce realistic data-driven dynamical models. In particular, he focuses on developing methods for inference of network architecture and modeling dynamics of networks, and his investigations are at the interface of development of generic computational approaches and modeling actual biological and physical systems. Shlizerman has a doctorate in applied mathematics from the Weizmann Institute of Science. 

Profile shlizee@uw.edu | 206-543-6658


Tom Trogdon

Thomas Trogdon is an associate professor in the Department of Applied Mathematics, an associate adjunct professor in the Department of Mathematics and a member of the Algorithmic Foundations of Data Science Institute at the University of Washington. Trogdon works on a variety of computational, applied and theoretical problems from the fields of mathematical physics, random matrix theory and approximation theory.  Before joining the UW in 2019, he was a National Science Foundation Postdoctoral Fellow at the Courant Institute of Mathematical Sciences at New York University and then was at the Department of Mathematics at University of California, Irvine.  He coauthored the book Riemann-Hilbert Problems, Their Numerical Solution and the Computation of Nonlinear Special Functions. Trogdon earned his doctorate in applied mathematics from the University of Washington.

Profile trogdon@uw.edu | 206-685-6420


Ka-Kit Tung

Ka-Kit Tung is a professor in the Department of Applied Mathematics and an adjunct professor in the Department of Atmospheric Sciences. He is the chief editor of the Journal of the Atmospheric Sciences, a fellow of the American Meteorological Society and a fellow of the Royal Meteorological Society. Tung previously worked as an associate professor of applied mathematics at the Massachusetts Institute of Technology. He received his bachelor’s and master's degrees in aeronautical engineering from the California Institute of Technology and earned a doctorate in applied mathematics at Harvard University.

Profiletung@amath.washington.edu | 206-685-3794


Jeremy Upsal

Jeremy Upsal is an instructor in the Department of Applied Mathematics. His academic interests include teaching mathematics, mathematics pedagogy and mathematics research. Upsal began teaching in the UW Department of Applied Mathematics in 2017 when he was a Ph.D. student. His research is on understanding the stability of solutions to partial differential equations and methods used to understand stability. This research involves the use of techniques from dynamical systems, complex analysis, mathematical physics, perturbation methods, linear algebra, control theory and other areas of mathematics. Upsal completed his bachelor's in applied mathematics at the University of Colorado in 2014 and his Ph.D. in applied mathematics at the University of Washington in 2020. 

Profile | jupsal@uw.edu | 206-543-5493