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. 
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  QuasiMonte Carlo methods and their applications 
Christopher Batty  Computer Science  PhysicsBased Animation 
Dan Brown  Computer Science  Understanding of sequential data, joining ideas from evolutionary theory with probabilistic modeling and discrete mathematical ideas. 
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 biophysicallybased rendering of natural phenomena 
Greg Rice  Statistics and Actuarial Science  TBA 
Henry Shum  Applied Mathematics  Biological fluid dynamics, microswimmers, biological and chemical reaction networks, numerical methods for fluidstructure interactions 
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. 
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 biogeochemical processes in lakes, Computational fluid dynamics 
Kirsten Morris  Applied Mathematics  Infinitedimensional 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 openended 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, Spacetime finite element methods for deforming domain problems, Higherorder accurate finite element methods, Preconditioners, Fluid dynamics, aerodynamics, magma/mantle dynamics, twophase flows 
Serge D'Alessio  Applied Mathematics  Analytical and computational methods to solve viscous incompressible thermofluid flows. 
Shai BenDavid  Computer Science  Foundations of computer science and its applications, with a particular emphasis on statistical and computational machine learning 
Soroosh Yazdani  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), penbased computing (e.g. penbased 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 computeintensive 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 highdimensional 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, spatiotemporal processes, nonparametrics, bootstrap and resampling, regularization for weakly dependent data, highdimensional 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 