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Affiliated members

Name Department Research interests
Adam Kolkiewicz Statistics and Actuarial Science Statistics and financial mathematics
Alexander Schied Statistics and Actuarial Science TBA
Ali Ghodsi Statistics and Actuarial Science Machine learning, Big data, Deep learning, Unsupervised learning, Dimensionality reduction
Arne Storjohann Computer Science Symbolic and Exact Linear Algebra, Algorithmic Number Theory
Ben Feng Statistics and Actuarial Science TBA
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. 
Chong Zhang Statistics and Actuarial Science Machine learning, mainly in margin-based classification and other non-parametric statistics, with application in public health and cancer research.
Chris Bauch Applied Mathematics Mathematical Biology, Ecology and Epidemiology, Sustainability Science, Dynamical Systems, Behavioural Models
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.
Dong Eui Chang Applied Mathematics Control, mechanics, applied differential geometry, machine learning and various applications.
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
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 TBA
Henry Wolkowicz Combinatorics and Optimization Optimization in finite dimensional and abstract spaces; linear, nonlinear and semidefinite programming; matrix eigenvalue problems; and numerical analysis of algorithms.   
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
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.
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
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
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
Mu Zhu Statistics and Actuarial Science Statistical machine learning and multivariate analysis, with their applications in health informatics, bioinformatics, and data mining
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
Peisong Han Statistics and Actuarial Science Development of new methodologies for statistical analysis with missing data along the line of semiparametric approaches, where only certain moments of the data distribution are specified
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
Ruodu Wang Statistics and Actuarial Science Actuarial science, quantitative risk management, mathematical finance, operations research, applied probability, and statistics.
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).
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
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.
Yuying Li Computer Science Design, analysis and application of computational algorithms for continuous optimization problems and, more generally, problems in scientific computing