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
The Department Awards Committee is pleased to announce that the winners of the 2023-2024 Marshall Prize are David Zuheng Xu and Daniel Daly-Grafstein.
The Statistics Equity, Diversity, and Inclusion Committee is excited to announce that the Department of Statistics is launching its first Graduate Student Parental Leave Financial Support Policy. Through this policy, the department commits to...
Calling all UBC students with an artistic flair! UBC Statistics is on a mission to find a logo to commemorate 40 years of excellence in statistical research, education, and engagement.
The Statistics Department is pleased to honour Xinglong Li with Statistics Graduate Teaching Assistant Awards
Congratulations to Kevin Lam, a Statistics PhD student, for being selected to receive funding through CANSSI's Graduate Student...
UBC Statistics 4th year student Abhinav Kansal captivated audiences at the prestigious National Collegiate Research Conference (NCRC) 2024, held at Harvard University...