Han Le
University of Waterloo
Room: M3 3127
Daniel Perales
University of Notre Dame
Room: M3 3127
Florian Maire
Universite de Montreal
Room: M3 3127
Joint seminar with Department of Economics
Xiaosheng Mu
Princeton University
Room: M3 3127
Zhiyu Quan
University of Illinois Urbana-Champaign
Room: M3 3127
Zachary Van Oosten
PhD Candidate, University of Waterloo
Room: M3 3127
Joint seminar with Department of Economics
Job Boerma
University of Wisconsin-Madison
Room: M3 3127
Canadian Statistical Sciences Institute (CANSSI) and the Department of Statistics and Actuarial Science are pleased to host our first Florence Nightingale Day on Saturday, February 28, 2026.
Open to high school students in grades 10–12 across the Waterloo Region, the event will feature hands-on activities, games, and panels of professional speakers, followed by networking and lunch. Registration is limited to the first 30 participants on a first-come, first-served basis.
Florence Nightingale Day promotes gender diversity in statistics and data science by encouraging and inspiring people of underrepresented genders to explore these fields. Named after Florence Nightingale, a pioneer of modern nursing and early innovator in data visualization, the event celebrates her legacy and the contributions of women in statistics, while showcasing career opportunities and mentorship in data science.
Jaime Garza
University of Ottawa
Room: M3 3127