Benjamin Bloem-Reddy

Department of Statistics, University of British Columbia

Statistics, Machine Learning, Modeling, Inference, Computation, Probability

Khanh Dao Duc

Department of Mathematics, University of British Columbia

Molecular and Cell biology, Gene expression, Cryo-EM microscopy, Biological shape and image analysis, Machine learning and Applied stochastic processes

Yanqin Fan

Department of Economics, University of Washington

Econometrics, Nonparametric Statistics

Maryam Fazel

Department of Electrical and Computer Engineering, University of Washington

Optimization Theory and Algorithms, Data Science and Machine Learning, Control Theory

Nassif Ghoussoub

Department of Mathematics, University of British Columbia

Partial Differential Equations

Zaid Harchaoui

University of Washington

Department of Statistics

Robust Statistical Machine Learning, Learning Feature Representations of Complex Data, Computationally-Efficient Optimization Algorithms for Learning and Inference

Bamdad Hosseini

Department of Applied Mathematics, University of Washington

Probability, Statistics, Applied Mathematics, Data Science, Uncertainty Quantification

Jingwei Hu

Department of Applied Mathematics, University of Washington

Kinetic Theory, Multiscale Modeling, Numerical Analysis, Partial Differential Equations, Scientific Computing

Young-Heon Kim

Department of Mathematics, University of British Columbia

Optimal Transporation, Partial Differential Equations, Calculus of Variations, Geometry

Jiajin Li

Sauder School of Business, University of British Columbia

Mathematical Optimization, Machine Learning, (Distributionally) Robust Optimization

Philip Loewen

Department of Mathematics, University of British Columbia

Mathematical optimization, Calculus of Variations, Optimal Control, Optimization, Machine Learning

Dan Mikulincer

Department of Mathematics, University of Washington

Probability, High Dimensional Geometry, Optimal Transport, Mathematics of Data Science

Soumik Pal

Department of Mathematics, University of Washington

Optimal Transporation, Probability Theory

Brendan Pass

Department of Mathematical and Statistical Sciences, University of Alberta

Optimal Transporation, Mathematical Economics, Mathematical Physics

Gabriel Peyré

DMA, École Normale Supérieure.

Optimal transport, Imaging Sciences, Machine Learning

Maurice Queyranne

Sauder School of Business, University of British Columbia

Combinatorial Optimization, Production Planning and Scheduling, Inventory Management

Geoffrey Schiebinger

Department of Mathematics, University of British Columbia

Interplay between Theory and Experiment in Natural Science, Time-courses of high dimensional gene expression data, Probability, Statistics, Optimization

Dave Schneider

School of Environment and Sustainability, University of Saskatchewan

Global Institute for Food Security

Biological sequence analysis, Systems Biology, Functional Genomics, Comparative Genomics

Lior Silberman

Department of Mathematics, University of British Columbia

Number Theory (automorphic forms), Topology, Group theory, Metric geometry.

Stefan Steinerberger

Department of Mathematics, University of Washington

Analysis, PDEs, Spectral Theory, Harmonic Analysis

Danica J. Sutherland

Department of Computer Science, University of British Columbia

Learning and testing on sets and distributions, Learning “deep kernels”, Statistical Theory

Amir Taghvaei

Department of Aeronautics & Astronautics

Nonlinear filtering/estimation, Reinforcement learning, Stochastic Thermodynamics, Optimal Transportation theory

Frank Wood

Department of Computer Science, University of British Columbia

Deep generative modeling, Amortized Inference, Probabilistic Programming, Reinforcement Learning, Applied Probabilistic Machine Learning