Explore
UBC Statistics
Job Postings
Research Highlight
Statistical learning, sometimes called machine learning, is becoming ever more important as a component of data science, and department members have had active research in this area for more than a decade. Statistical learning methods include classification and regression (supervised learning) and clustering (unsupervised learning). Current research topics of faculty members and their graduate students include construction of phylogenetic trees in evolution, ensembles of models and sparse clustering. Applications include the search for novel pharmaceutical drugs and detection of biogenic patterns.
Events
News
Jeffrey Rosenthal, author of the best-selling book Struck by Lightning: The Curious World of Probabilities and professor at the University of Toronto, speaks:
Born on Friday the Thirteenth: The Curious World of Probabilities...
Department of Statistics and Institute for the Oceans & Fisheries Assistant Professor Marie Auger-Méthé not only analyzes data, she collects it. Learn about her research team’s...
We are happy to announce the launch of UBC’s first undergraduate Data Science course, DSCI 100—Introduction to Data Science. It will be offered in Term 2 of the 2018/2019 Academic year (January – April 2019). A working version of the course...
The Mean Squared Terrors have been proudly flying the Statistics flag in UBC's indoor and outdoor soccer leagues for the past 4 years. After many seasons of heartbreak and disappointment in which the Terrors failed to progress through a play-off...
Michael is in the combined MD/PhD program, working in the laboratory of Dr. Leonard J. Foster, Biochemistry and Molecular Biology, Life Sciences Centre, where he develops bioinformatic methods to interrogate the protein-protein interactome....
Graduate Teaching Assistants play an important role in the department. Every year since 2011, we have recognized GTA excellence via the Statistics Department's Graduate Teaching Award.
David Kepplinger is this year’s recipient of...
Statistics Ph.D. student Tanja Högg is the recipient of this year’s Marshall Prize. Tanja is carrying out her Ph.D. research under the joint supervision of Paul Gustafson, John Petkau and Yinshan Zhao, focussing on Bayesian methods for the...
Statistics Associate Professor Alex Bouchard-Côté and co-researchers have been awarded a CANSSI Collaborative Team Grant to support the project "Statistical Methods for Challenging Problems in Public Health Microbiology”. The three-year $180,000...