Mathematics

Mathematicians use theoretical and computational methods to solve a wide range of problems from the most abstract to the very applied. UBC's mathematics graduate students work in many branches of pure and applied mathematics.

 

Faculty Members

Name Research Interests
Adem, Alejandro Cohomology of finite groups, orbifolds, stringy topology, algebra, sporadic simple group, group actions, arithmetic groups, K-theory, homotopy theory, spaces of homomorphisms
Angel, Omer Probability theory, percolation, random graphs, random walks, particle processes, scaling limits
Anstee, Richard Discrete Mathematics, Extremal Set Theory, Graph Theory, Matching Theory
Bachmann, Sven Mathematical Analysis; Quantum Phenomena; Mathematical physics; Quantum statistical physics; Topological states of matter
Balmforth, Neil Fluid mechanics, nonlinear dynamics and applied partial differential equations
Behrend, Kai Moduli spaces, Gromov-Witten invariants, string theory, Donaldson-Thomas invariants, Euler characteristics, categorification
Bennett, Michael Number Theory, Diophantine Approximation and Classical Analysis
Bryan, Jim Quantum invariants
Cautis, Sabin Geometry
Chau, Albert Differential Geometry and Partial Differential Equations
Chen, Jingyi Algebraic and differential geometry; Differential Geometry, Partial Differential Equations
Colliander, James hamiltonian dynamical systems; partial differential equations; harmonic analysis
Coombs, Daniel Cell Signaling and Infectious and Immune Diseases; Mathematics; Epidemiology; Mathematical biology; Cell biophysics; Immune cell signalling; Disease models
Cytrynbaum, Eric Bacterial cell division, Microtubule and cellular organization, Wave propagation in excitable media
Dao Duc, Khanh combine mathematical,computational and statistical tools to study fundamental biological processes; regulation and determinants of gene expression and translation
Doebeli, Michael Walter Mathematical ecology and evolution, evolution of diversity, adaptive speciation, evolution of cooperation, game theory, experimental evolution in microorganisms
Edelstein-Keshet, Leah Mathematics; Modelization and Simulation; Cell Signaling; Cell Signaling and Cancer; Differential Equation; cell polarity, cell migration, developmental and cellular biology; swarming and aggregation; Rho GTPases
Feng, James Jingtao Fluid Mechanics; Complex fluids; Biophysics; Mathematical biology
Fraser, Ailana Differential Geometry, Geometric Analysis
Friedlander, Michael numerical optimization, numerical linear algebra, scientific computing, Scientific computing
Frigaard, Ian Fluid mechanics (visco-plastic fluids)
Froese, Richard Gerd Mathematics; Mathematical physics; quantum mechanics; spectral theory; scattering theory
Ghioca, Dragos Drinfeld modules, isotrivial semiabelian varieties, Lehmer inequality
Ghoussoub, Nassif Mathematical sciences, R&Ed policies, developing science in Africa, Non-linear analysis and partial differential equations
Gordon, Julia Yulia Representation theory of p-adic groups and motivic integration; Trace Formula and its applications
Gustafson, Stephen James Mathematical Analysis; Differential Equation; Global and Non-Linear Analysis; Mathematical physics; Nonlinear partial differential equations; Topological solitons; Nonlinear waves
Hauert, Christoph Modelization and Simulation; Evolution and Phylogenesis; Biological Behavior; evolution; game theory; social dilemmas; dynamical systems; stochastic processes
Hermon, Jonathan probability theory; Markov chains and the cutoff phenomenon; particle systems; percolation
Karu, Kalle Algebraic geometry, toric varieties, log geometry, combinatorics of fans and posets
Kim, Young-Heon Partial Differential Equations and Geometry
Laba, Izabella Harmonic analysis, geometric measure theory and additive combinatorics
Li, Yue-Xian Calcium signalling in neuroendocrine cells Fertilization calcium waves in oocytes
Loewen, Philip Mathematical optimization; Calculus of Variations; Optimal Control; optimization; Machine Learning
Macdonald, Colin List of publications; The Closest Point Method: a new method for PDEs on surfaces; Time-stepping for PDEs: constructing Runge-Kutta methods, strong-stability-preserving methods (visit the SSP Site); WENO spatial discretizations; The Predicted Sequential Regularization Method; List of talks and presentations.
Marcus, Brian Harry Coding and information theory, symbolic dynamics, ergodic theory and dynamical systems
Martin, Gregory Number theory, Diophantine Approximation and Classical Analysis
Murugan, Mathav probability theory and analysis; relationship between behavior of Markov processes and the geometry of the underlying state space; Sandpile models; boundary theory; potential theory; quasiconformal mappings; Metric geometry
Nagata, K Wayne Nonlinear dynamics and applied partial differential equations
Ollivier, Rachel Langlands Programme, a central theme in pure mathematics which predicts deep connections between number theory and representation theory;
Ortner, Christoph Numerical analysis; Mathematical modelling and simulation; Partial and ordinary differential equations; Computational chemistry; Condensed matter modelling and density functional theory; Numerical modelling and mechanical characterisation; Numerical Analysis & Scientific Computing; Applied Analysis; Multi-scale Modelling and Coarse-graining; Molecular Simulation; Scientific Machine-learning, in particular for applications in multi-scale modelling
Peirce, Anthony Scientific computing, nonlinear dynamics and applied partial differential equations
Picard, Sebastien Differential geometry
Plan, Yaniv applied probability, high-dimensional inference, random matrix theory, compressive sensing, and matrix completion.
Pramanik, Malabika Harmonic analysis, partial differential equations, several complex variables
Ramdorai, Sujatha Algebraic theory of quadratic forms, non-cummutative Iwasawa theory, motives
Rechnitzer, Andrew Enumerative combinatorics, Simulation of combinatorial objects, Lattice statistical mechanics
Reichstein, Zinovy Algebra, algebraic geometry, algebraic groups
Robeva, Elina Statistical theory and modeling; Machine learning; Algebra; Algebraic statistics; Graphical Models; Tensor decomposition; Causality; Applied algebraic geometry; Shape-constrained density estimation; Tensor networks
Schiebinger, Geoffrey Applied & Theoretical Statistics; data science; Machine Learning; Theory of Statistics; Measurement technologies; Single-cell RNA sequencing; Genetics; Genome Sciences; Computational Genomics; Models Inference and Algorithms
Silberman, Lior Mathematics; Metric geometry; Number theory; Automorphic forms; Analysis on manifolds; Topology; Homogenous dynamics; Representation Theory; Group Theory

Stories

Brian Chan

Student
Doctor of Philosophy in Mathematics (PhD)