Machine learning and its applications have been on the rise in recent years, with UBC faculty members from the Departments of Computer Science, Statistics and Mathematics at the Faculty of Science, and the Faculty of Applied Sciences at UBC leading several efforts in this area.

This website showcases some of the machine learning activities ongoing at UBC. Recent Machine Learning research at UBC focuses on probabilistic programming, reinforcement learning and deep learning. Application areas of interest at UBC include algorithms for large datasets, computer vision, robotics and autonomous vehicles. On the educational side, 2 specific machine learning courses are delivered each year, with tangential courses also available as part of Masters and PhD programs.

	Name	Research Interests
	Ahmet Alacaoglu Assistant Professor, UBC Mathematics alacaoglu@math.ubc.ca	Optimization for machine learning Min-max games Stochastic algorithms Reinforcement learning theory
	Alexandre Bouchard-Côté Associate Professor, UBC Statistics bouchard@stat.ubc.ca	Computational statistics Statistical machine learning Applications in linguistics and biology
	Benjamin Bloem-Reddy Assistant Professor, UBC Statistics benbr@stat.ubc.ca	Statistical machine learning Probabilistic modelling Network data analysis Bayesian nonparametrics
	Cristina Conati Professor, UBC Computer Science Distinguished Scholar, UBC Sauder School of Business Research Groups: Human-AI Interaction; Designing For People (DFP) conati@cs.ubc.ca	Human computer interaction Cognitive science Affective computing Explainable AI
	Danica Sutherland Associate Professor, UBC Computer Science djs@djsutherland.ml	Generative models Density estimation Distribution regression Approximate kernel embeddings
	David Poole Professor, UBC Computer Science Director, Laboratory for Computational Intelligence (LCI) poole@cs.ubc.ca	Artificial intelligence Algorithms for probabilistic reasoning Diagnosis and decision theory Preference elicitation Semantic science Statistical relational AI
	Frank Wood Associate Professor, UBC Computer Science Canada CIFAR AI Chair at MILA Research Group: Programming Languages for Artificial Intelligence (PLAI) fwood@cs.ubc.ca	Probabilistic programming Applied probabilistic machine learning Probabilistic models and inference algorithms
	Geoff Pleiss Assistant Professor, UBC Statistics CIFAR AI Chair, Vector Institute geoff.pleiss@stat.ubc.ca	Bayesian optimization Probabilistic machine learning Uncertainty quantification Reliable deep learning
	Giuseppe Carenini Professor, UBC Computer Science Director, UBC Master in Data Science Research Groups: Deep Learning & Natural Language Processing (UBC NLP); Centre for Artificial Intelligence Decision-making & Action (CAIDA) carenini@cs.ubc.ca	Artificial intelligence Natural language processing Visualization
	Helge Rhodin Assistant Professor, UBC Computer Science Research Groups: Imager lab for Graphics, Visualization and HCT ; Computer Vision rhodin@cs.ubc.ca	Graphics Vision Virtual/augmented reality Self-supervised learning
	Jeff Clune Associate Professor, UBC Computer Science Research Team Leader, OpenAI jeff.clune@ubc.ca	Deep learning Deep reinforcement learning Evolving neural networks Robotics
	Kevin Leyton-Brown Professor, UBC Computer Science Canada CIFAR AI Chair at Alberta Machine Intelligence Institute (Amii) kevinlb@cs.ubc.ca	Algorithm design Combinatorial optimization Game theory Market design Automl
	Kwang Moo Yi Assistant Professor, UBC Computer Science Research Group: Computer Vision & Robotics kmyi@cs.ubc.ca	Visual geometry​ Computer vision Computer graphics​
	Leonid Sigal Associate Professor, UBC Computer Science Canada Research Chair (CRC II) in Computer Vision and Machine Learning Canada CIFAR AI Chair at Vector Institute lsigal@cs.ubc.ca	Computer graphics Computer vision Machine learning
	Mark Schmidt Associate Professor, UBC Computer Science Canada CIFAR AI Chair at Alberta Machine Intelligence Institute (Amii) Canada Research Chair (CRC II) in Large Scale Machine Learning schmidtm@cs.ubc.ca	Numerical optimization Machine learning
	Mathias Lécuyer Assistant Professor, UBC Computer Science Research Group: Systopia: Networks, Systems and Security Lab mathias.lecuyer@ubc.ca	Differential privacy Explainability Causality Reinforcement learning Federated learning System and security applications
	Michiel van de Panne Professor, UBC Computer Science Research Group: Imager lab for Graphics, Visualization and HCT van@cs.ubc.ca	Reinforcement learning Modeling human movement Robotics Computer animation Computer graphics
	Mijung Park Associate Professor, UBC Computer Science	Privacy preserving machine learning Bayesian statistics
	Muhammad Abdul-Mageed Associate Professor, School of Information and Department of Linguistics (Joint Appointment); Computer Science (Courtesy) Canada Research Chair (CRC II) in Natural Language Processing and Machine Learning Research Group: Deep Learning & Natural Language Processing (UBC NLP) muhammad.mageed@ubc.ca	Deep representation learning Natural language socio-pragmatics Machine translation Speech processing
	Trevor Campbell Associate Professor, UBC Statistics trevor@stat.ubc.ca	Bayesian inference Bayesian nonparametrics
	Vered Shwartz Assistant Professor, UBC Computer Science Research Groups: Deep Learning & Natural Language Processing (UBC NLP); Centre for Artificial Intelligence Decision-making & Action (CAIDA) vshwartz@cs.ubc.ca	Artificial intelligence Machine learning Natural language processing