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
Statistics PhD candidate Jonathan Agyeman has been awarded the prestigious Killam Graduate Teaching Assistant Award for 2021/2022.
Jonathan has shown an extraordinary commitment to serving the department’s and the university’s teaching...
Statistics Ph.D. recipient, Xin Ding, has been awarded the Marshall Prize. Xin recently received his Ph.D., co-supervised by Statistics professor William Welch and Electrical...
Statistics PhD student Anthony Christidis is the recipient of the 2021-22 Department of Statistics Award in Data Science. Anthony has carried out exceptional work tackling...
Data Science Applied Research and Education Seminar (ARES) collaborated between the Department of Statistical Sciences at University of Toronto and CANSSI Ontario is a...
CANSSI Saskatchewan Health Science (CANSSI-SKHS) Collaborating Centre is organizing a webinar...
The Statistics Department is pleased to honour Kenny Chiu and Jonathan Agyeman with Statistics Graduate Teaching Assistant Awards.
Kenny is...
UBC Statistics PhD student, David (Zuheng) Xu, won an ASA Section on Bayesian Statistical Science (SBSS) Student Paper Award, sponsored by the...
Statistics PhD student Evan Sidrow and his research team propose more advanced Markov models in their study to better understand the behaviours of northern resident killer whales and other species. Evan’s co-supervisors, faculty members Marie...
The Statistics Department offers several types of free statistical consultation, via STAT 450, SOS and STAT 551, as follows:
- STAT 450: Term 2 only, open to anyone, via students in STAT 450 mentored by faculty; accepting...