Florence Nightingale Day 2023

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 second annual celebration of Florence Nightingale Day on February 18, 2023 (10 am-2 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. Esther Berzunza, Program Manager, CANSSI Ontario
  3. Samantha-Jo Caetano, Assistant Professor, Teaching Stream, Department of Statistical Sciences, University of Toronto
  4. Megan Whitehead, Assistant Manager, Employer Relations & Career Development, Department of Statistical Sciences, University of Toronto

Event of Interest

Emerging Patterns: Data Visualization Throughout History
Thomas Fisher Rare Book Library
22 May -18 August 2023

Statistical atlas of the United States based on the results of the ninth census 1870 : with contributions from many eminent men of science and several departments of the government. New York : Julius Bien Lith., 1874.

Hourly Schedule

Saturday, February 18, 2023

10:00 am - 10:05 am
Welcoming Remarks
Rohan Alexander
10:05 am - 10:35 am
The Power of Visualization
Anthony Gray, Aurora Mendelsohn
10:35 am - 12:15 pm
Data Science Activities
DoSS Faculty and Others
12:15 pm - 12:45 pm
12:45 pm - 1:45 pm
Speaker Panel
Annie Collins, Himanshi Sehgal, Joanna Lee, Joy Wu, Menchie Wu
1:45 pm - 2:00 pm
2:00 pm -
Anthony Gray
Anthony Gray
Director, Strategic Research, University of Toronto
Aurora Mendelsohn
Aurora Mendelsohn
Director of Research Analytics, University of Toronto
Annie Collins
Annie Collins
Data Analyst, GivingTuesday
Himanshi Sehgal
Himanshi Sehgal
Actuarial Analyst, Mercer Canada
Joanna Lee
Joanna Lee
Senior Associate, Data Quality Management, EY
Joy Wu
Joy Wu
Research Assistant, Bank of Canada
Menchie Wu
Menchie Wu
Algorithmic trading test engineer, RBC

The event is finished.

Local Time

  • Timezone: America/New_York
  • Date: Feb 18 2023
  • Time: 10:00 am - 2:00 pm
Rooms 9014 & 9016 U of T


Rooms 9014 & 9016 U of T
700 University Avenue, Toronto, ON M5G 1X6


CANSSI Ontario


CANSSI Ontario