Affiliated members

Name	Department	Research interests
Adam Kolkiewicz	Statistics and Actuarial Science	Statistics and financial mathematics
Alexander Schied	Statistics and Actuarial Science	Applied probability and mathematical finance
Ali Ghodsi	Statistics and Actuarial Science	Machine learning, Big data, Deep learning, Unsupervised learning, Dimensionality reduction
Anita T. Layton	Applied Mathematics	Mathematical Biology and Medicine
Arne Storjohann	Computer Science	Symbolic and Exact Linear Algebra, Algorithmic Number Theory
Ben Feng	Statistics and Actuarial Science	Computational Finance, Computational Optimization, Monte Carlo and Stochastic Methods
Bin Li	Statistics and Actuarial Science	Actuarial science, applied probability, mathematical finance, and partial differential equations
Brian Ingalls	Applied Mathematics	Applications of Systems and Control Theory to Molecular Systems Biology and to Synthetic Biology
Chaitanya Swamy	Combinatorics and Optimization	Combinatorial optimization, approximation algorithms, algorithmic game theory, stochastic optimization, network design, scheduling, and online algorithms.
Chengguo Weng	Statistics and Actuarial Science	Stochastic optimization, predictive analytics for insurance and finance, portfolio optimization
Chris Bauch	Applied Mathematics	Mathematical Biology, Dynamical Systems, Applications of Machine Leaning to Ecology, Infectious Diseases and Sustainability
Chris Fletcher	Geography and Environmental Management	Atmospheric circulation in determining regional patterns of temperature and precipitation
Chris Godsil	Combinatorics and Optimization	Cover, Homomorphisms and Colorings, EKR Theorems, Complex Lines, Graph Spectra
Christiane Lemieux	Statistics and Actuarial Science	Quasi-Monte Carlo methods and their applications
Christopher Batty	Computer Science	Physics-Based Animation
Dan Brown	Computer Science	Understanding of sequential data, joining ideas from evolutionary theory with probabilistic modeling and discrete mathematical ideas.
David Gosset	Combinatorics and Optimization	The theory of quantum computing, quantum algorithms and quantum complexity theory.
Eric Schost	Computer Science	Computer algebra, from polynomial system solving to efficient polynomial and power series arithmetic
Francis Poulin	Applied Mathematics	Geophysical fluid dynamics, Stochastic differential equations, Biological fluid dynamics, Computational mathematics
George Labahn	Computer Science	Computer Algebra with a secondary area being in the field of Computational Finance
Giang Tran	Applied Mathematics	Sparse Modeling and Sparse Optimization Methods, Data Science, Image Processing and Medical Imaging, Compressed Sensing
Gladimir Baranoski	Computer Science	Predictive simulation of light interactions with organic materials and the biophysically-based rendering of natural phenomena
Greg Rice	Statistics and Actuarial Science	Functional Data Analysis, Time Series Analysis, Change Point Analysis, Panel Data, and Central Limit Theory for Stationary Processes
Hans De Sterck	Applied Mathematics	Large-scale scientific computing, Multilevel numerical linear algebra methods, Numerical methods for PDEs, Novel platforms for scientific computing including GPUs and clouds, Computational fluid dynamics
Henry Shum	Applied Mathematics	Biological fluid dynamics, microswimmers, biological and chemical reaction networks, numerical methods for fluid-structure interactions
Henry Wolkowicz	Combinatorics and Optimization	Optimization; Mathematical Programming (linear, nonlinear, semidefinite programming, semi-infinite); Low Rank Matrix Completions, Compressive Sensing; Quadratic Assignment, Graph Partitioning, Knapsack Problems; Numerical Analysis (numerical linear algebra); Convex Analysis; Matrix Theory (eigenvalue bounds, invariant cones); Generalized Inverses (operators and matrices)
Ilias Kotsireas	Wilfrid Laurier University (Department of Physics & Computer Science)	Symbolic Computation, Computer Algebra, Computational Algebra, Combinatorial Matrix Theory, Combinatorial Optimization, Commutative Algebra & Algebraic Geometry, Computer Algebra, Combinatorial Designs, Discrete Mathematics, Combinatorics
Jeff Orchard	Computer Science	Computational neuroscience, using mathematical models and computer simulations of neural networks to understand how the brain works
Jesse Hoey	Computer Science	Artificial intelligence, affective computing, and health informatics
Jochen Koenemann	Combinatorics and Optimization	Approximation Algorithms, Algorithmic Game Theory, Combinatorial Optimization
Jun Liu	Applied Mathematics	Computational aspects of control and dynamical systems
Justin Wan	Computer Science	Numerical solutions of partial differential equations, iterative methods, and multigrid preconditioning with applications in medical image registration, cell image segmentation, tracking of cell images, computational finance, and parallel computation on high performance platforms.
Katerina Papoulia	Applied Mathematics	Continuum mechanics, finite element methods in mechanics, crack propagation, failure mechanics, composite materials.
Ken Seng Tan	Statistics and Actuarial Science	Intersection of actuarial science, finance, mathematics, and statistics
Kevin Hare	Pure Mathematics	Number theory, Fractal geometry
Kevin Lamb	Applied Mathematics	Nonlinear waves, Internal gravity waves and surface water waves, Hydrodynamic instabilities and mixing, Physical oceanography and limnology, Coupling of hydrodynamic and bio-geochemical processes in lakes, Computational fluid dynamics
Kimon Fountoulakis	Computer Science	Algorithms for convex optimization with applications in machine learning problems such as local graph clustering, community detection, regression and classification.
Kirsten Morris	Applied Mathematics	Infinite-dimensional control systems, Computation of controllers for systems modelled by partial differential equations, Optimal actuator/sensor location, Robust control of smart materials, Hysteresis
Levent Tunçel	Combinatorics and Optimization	Mathematical optimization, mathematics of operations research and foundations of computational mathematics
Lilia Krivodonova	Applied Mathematics	Discontinuous Galerkin methods, Error estimation and adaptive methods, Finite element methods, Numerical solution of PDEs in complex geometries, Hyperbolic conservation laws
Marek Stastna	Applied Mathematics	Stratified fluid dynamics in lakes and the coastal oceans, The climate dynamics, Wave dynamics in porous media
Marius Hofert	Statistics and Actuarial Science	Development of mathematical, statistical and computational tools in copula modeling
Mario Ghossoub	Statistics and Actuarial Science	Ambiguity and model uncertainty in risk sharing, risk measurement, and optimal insurance design.
Mark Giesbrecht	Computer Science	Computer algebra, algebraic algorithms and computational complexity
Martin Lysy	Statistics and Actuarial Science	Continuous stochastic processes, Graphical and hierarchical modeling, Mediation analysis
Matthias Schonlau	Statistics and Actuarial Science	Applied survey sampling and survey methodology, machine learning from text data such as open-ended questions as well as software implementation of his research
Michael Rubinstein	Pure Mathematics	Number Theory
Michael Wallace	Statistics and Actuarial Science	Causal inference, with a specific focus on dynamic treatment regimes (DTRs) and personalized medicine
Michael Waite	Applied Mathematics	Turbulence in rotating stratified fluids, Vortices in stratified fluids, Mesoscale atmospheric dynamics, Tropical convection
Michelle Delcourt	Combinatorics and Optimization	Extremal combinatorics and structural graph theory
Mu Zhu	Statistics and Actuarial Science	Statistical machine learning and multivariate analysis, with their applications in health informatics, bioinformatics, and data mining
Olga Veksler	Computer Science	Visual correspondence (stereo, motion) and image segmentation
Pascal Poupart	Computer Science	Artificial intelligence and more precisely in the areas of reasoning under uncertainty and machine learning, with application to health informatics and natural language processing
Paul Marriott	Statistics and Actuarial Science	Theoretical and applied work
Peter Forsyth	Computer Science	Financial derivative securities
Ricardo Fukasawa	Combinatorics and Optimization	Mixed Integer Programming (theory and computation), Operations Research, Polyhedral Combinatorics, Combinatorial Optimization
Robert Gracie	Civil and Environmental Engineering	Geomechanics and Risks of Hydraulic Fracturing for Shale Gas Development
Roberto Guglielmi	Applied Mathematics	Control of finite and infinite dimensional systems, optimization with PDE-constraints, model predictive control, stability of dynamical systems and feedback controls, and applications to finance and natural sciences.
Ruodu Wang	Statistics and Actuarial Science	Actuarial science, quantitative risk management, mathematical finance, operations research, applied probability, and statistics.
Ryan Browne	Statistics and Actuarial Science	Statistical Computing and Data Visualization
Samuel Wong	Statistics and Actuarial Science	Statistical computation for data-driven applications in protein folding, cell biology, and engineering
Sander Rhebergen	Applied Mathematics	Discontinuous Galerkin finite element methods, Space-time finite element methods for deforming domain problems, Higher-order accurate finite element methods, Preconditioners, Fluid dynamics, aerodynamics, magma/mantle dynamics, two-phase flows
Serge D'Alessio	Applied Mathematics	Analytical and computational methods to solve viscous incompressible thermofluid flows.
Shai Ben-David	Computer Science	Foundations of computer science and its applications, with a particular emphasis on statistical and computational machine learning
Soroosh Yazdani	Google	Computational Number Theory/Arithmetic Geometry
Stefan Steiner	Statistics and Actuarial Science	Business and industrial statistics focusing on process improvement
Stephen Vavasis	Combinatorics and Optimization	Continuous optimization and numerical analysis
Stephen Watt	Computer Science	Computer algebra (e.g. algorithms and applications of gcd and factorization of various sorts of polynomials), programming languages and compilers (e.g. implementation of dependent types, compiler optimizaions for programming languages with templates or genenerics, garbage collection), pen-based computing (e.g. pen-based collaboration, mathematical handwriting recognition) and mathematical knowledge management (e.g. mathematical web services and digital mathematical libraries).
Sue Ann Campbell	Applied Mathematics	Computational models of biological neural networks, pattern formation in coupled oscillator networks with time delay
Tom Coleman	Combinatorics and Optimization	Development of computational methods and tools for compute-intensive and challenging problems with emphasis on applications and computing methodologies such as automatic differentiation and cluster computing technologies
Tony Wirjanto	Statistics and Actuarial Science	Statistical methodology for applications in the finance area
Toshiya Hachisuka	Computer Science	Physics-based rendering, light transport simulation, and numerical analysis for computer graphics
Vijay Ganesh	Electrical and Computer Engineering	Boolean SAT and SMT solvers, theorem provers, solvers for combinatorial mathematics, foundations of mathematics, complexity theory
Walaa Moursi	Combinatorics and Optimization	Continuous optimization, non-smooth optimization, convex analysis, monotone operator theory
Wayne Oldford	Statistics and Actuarial Science	Statistical reasoning, exploratory data analysis, data visualization, and the development of interactive computational environments that support these activities, comprise the broad areas of Professor Oldford's research interests.
William J. Cook	Combinatorics and Optimization	Integer programming and combinatorial optimization
Yaoliang Yu	Computer Science	Machine learning, statistics, and optimization, with applications in computer vision and multimedia.
Yeying Zhu	Statistics and Actuarial Science	Causal inference, machine learning and the interface between the two
Yingli Qin	Statistics and Actuarial Science	Hypothesis testing for high-dimensional data with applications to gene sets testing and estimating and testing for large dimensional covariance matrices using the random matrix theory
Yulia Gel	Statistics and Actuarial Science	Applications of statistics to business and finance, environmental modeling, and epidemiology. Time series analysis, spatio-temporal processes, nonparametrics, bootstrap and resampling, regularization for weakly dependent data, high-dimensional inference, statistical inference for random graphs and networks.
Yuri Boykov	Computer Science	Computer vision and biomedical image analysis with focus on modeling and optimization for structured segmentation, restoration, registration, stereo, motion, model fitting, recognition, photo-video editing and other data analysis problems
Yuying Li	Computer Science	Design, analysis and application of computational algorithms for continuous optimization problems and, more generally, problems in scientific computing