Florence Nightingale Day 2026

Free In-Person Event | Limited Space | Registration Required

Registration is available on a first-come, first-served basis to the first 30 registrants.

This event is open to high school students in grades 10-12 in the Toronto area. The Day will comprise faculty-organized hands-on activities, games, and panels of professional speakers, followed by networking and lunch. 

CANSSI Ontario and the University of Toronto Department of Statistical Sciences are pleased to host our fourth annual celebration of Florence Nightingale Day on March 28, 2026 (9:30 am-2:30 pm).  

The event aims to promote gender diversity in statistics and data science by encouraging, inspiring, and empowering people of genders currently underrepresented in these fields. 

Florence Nightingale, the day’s namesake, was not only the founder of modern nursing but also a pioneer in data visualization.  She effectively used data in an organized way to fight for better care for wounded soldiers and public health improvements in the 1850s. You can read more about Florence Nightingale and her work here.

The event celebrates the contributions to statistical sciences made by Nightingale and other women and promotes statistics, the science of data. Women and those from underrepresented groups in these fields are encouraged to participate. Students can discover career opportunities in statistics and data science, participate in fun data-related activities, and meet academic and industry mentors.  

Organizing Committee

  1. Rohan Alexander, Assistant Professor, Department of Statistical Sciences and Faculty of Information, University of Toronto
  2. Sebastian Jaimungal, Professor and Chair, Department of Statistical Sciences, University of Toronto
  3. Esther Berzunza, Program Manager, CANSSI Ontario
  4. Samantha-Jo Caetano, Assistant Professor, Teaching Stream, Department of Statistical Sciences, University of Toronto
  5. Megan Whitehead, Manager, Employer Relations & Career Development, Department of Statistical Sciences, University of Toronto


Hourly Schedule

Saturday, March 28, 2026

9:30 - 10:00
Arrival and Check-in
High School Students
10:00 - 10:05
Introductions and Welcoming Remarks
Speakers:
Samantha-Jo Caetano
10:05 - 11:30
Hands-on Data Science Activities
DoSS Faculty and Others
11:30 - 12:30
Lunch
Provided
12:30 - 1:15
Speed Mentorship
1:30 - 2:30
Campus Tour
Optional
Samantha-Jo Caetano
Samantha-Jo Caetano
Assistant Professor, Department of Statistical Sciences, University of Toronto
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Local Time

  • Timezone: America/New_York
  • Date: Mar 28 2026
  • Time: 9:30 am - 2:30 pm
U of T - Rooms 9014 & 9016

Location

U of T - Rooms 9014 & 9016
700 University Avenue, Toronto, ON
CANSSI Ontario

Organizer

CANSSI Ontario
Email
esther.berzunza@utoronto.ca
Website
https://canssiontario.utoronto.ca

Moderator

Rohan Alexander
Rohan Alexander
Website
https://rohanalexander.com/

Assistant Director, CANSSI Ontario

Samantha-Jo Caetano
Samantha-Jo Caetano
Website
https://www.statistics.utoronto.ca/people/directories/all-faculty/samantha-jo-caetano

Assistant Professor, Department of Statistical Sciences, University of Toronto

Esther Berzunza
Esther Berzunza
Phone
416-689-7271
Email
esther.berzunza@utoronto.ca

Program Manager, CANSSI Ontario

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