
CANSSI National Seminar Series: Fall lineup & journal club
Beginning in September, the Canadian Statistical Sciences Institute (CANSSI) will be hosting a series of monthly virtual seminars, to be broadcast live on the fourth Thursday of the month. The series will span from September to April. Each speaker will provide a read-ahead journal article, with CANSSI encouraging graduate-student journal clubs.
This fall, the theme is hidden Markov models.
The fall line-up
Mark your calendars for this fall’s three upcoming speakers!

Recipients of the 2020 Dr. John and Barbara Petkau Scholarships
This year’s recipients of the Dr. John and Barbara Petkau Scholarships are Xinpei Li and Huanqing (William) Wang.
Xinpei Li is entering third year in the double Honours program in Computer Science and Statistics. Xinpei has taken an impressive array of courses in both departments, all with stellar grades. Although entering third year, Xinpei is already within a few courses of being promoted to fourth year.

Naitong Chen receives Nash Medal
The Nash Medal in Statistics was awarded this year to Naitong Chen.
Naitong graduated with a major in Statistics in May 2020 with an exemplary transcript coupled with hands-on research experience. And the department is delighted that he is continuing his UBC training in the Statistics M.Sc. program.

Free statistical consultation: August 2020 call
The Department of Statistics offers several types of free statistical consultation, via STAT 551, SOS, and STAT 550, as follows.

PhD student Joe Watson wins Student Presentation Award at statistical ecology conference
Congratulations to our Statistics PhD student Joe Watson, who was awarded the Student Presentation Award at the virtual International Statistical Ecology Conference (ISEC) 2020!
ISEC is a biennial meeting of researchers who bridge ecology and statistics and was hosted this year by UNSW Sydney (the University of New South Wales).

Paul Gustafson awarded 2020 SSC Gold Medal
Our professor and department head, Paul Gustafson, has received this year’s Statistical Society of Canada (SSC) Gold Medal.
The Gold Medal is the SSC’s most prestigious award for research. It is awarded to “a person who has made outstanding contributions to statistics, or to probability, either to mathematical developments or in applied work” (Statistical Society of Canada).
Hearty congratulations to you, Paul!

PhD student Evan Sidrow wins presentation award
UBC Statistics PhD student Evan Sidrow won the Best Graduate Oral Presentation Award (Ph.D.) at the Eighth Annual Canadian Statistics Student Conference. This conference is usually held in-person just before the annual Statistical Society of Canada meeting, but this May, it was offered online. Evan’s presentation, Modelling Marine Mammal Sub-dive Behaviour with Hierarchical Hidden Markov Models, stems from joint work with Sarah Fortune and Andrew Trites of the Institute of Oceans and Fisheries, and Marie Auger-Méthé and Nancy Heckman.

Welcoming our five new faculty colleagues
Our department is thrilled to be welcoming five new faculty colleagues: Vincenzo Coia, Melissa Lee, Rodolfo Lourenzutti, Daniel McDonald, and Yongjin Park.
Rodolfo, Melissa, and Vincenzo will be taking up Assistant Professor of Teaching positions on July 1.
On the same date, Daniel will be joining us in an Associate Professor position.
And Yongjin will begin his role as an Assistant Professor in a joint position between the Department of Pathology and Laboratory Medicine and the Department of Statistics on September 1.

Senior Instructor Eugenia Yu receives Killam Teaching Prize
We’re very pleased to announce that our Statistics Senior Instructor, Eugenia Yu, has won a Killam Teaching Prize for excellence in teaching.

Professor Paul Gustafson researches the impact of inaccurate laboratory tests on estimation of epidemic curves
We have all become familiar with the importance of monitoring the number of COVID-19 cases for setting policies and managing limited health care resources. But how do inaccuracies in tests for the virus impact the curves that describe the epidemic?