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MARCH 2-3 2020

TORONTO, ON

aboutus

We are a community for womxn in data science and pride ourselves on providing a platform for womxn from diverse backgrounds to showcase their career journeys and knowledge share.

We're here to encourage the diversification of the talent pipeline for data science and other data careers.

 

Whether you are curious about data science or a seasoned professional in the space, we have something for you at the Toronto Womxn in Data Science Conference

The conference is a two-day event where you will get a chance to hear from womxn in academia, industry, government, and start-ups about how they apply data science to their work and their career journeys. The second day will have workshops to help promote professional development and employment readiness.

 
 

The Speakers

FEATURED INDUSTRY EXPERTS

01

Claudette McGowan

Chief Information Officer ETEE

Claudette is a global information technology leader with more than 17 years of success leading digital transformations and designing new approaches that improve service experiences.

02

University of Toronto

Dr. Molly Shoichet

University Professor and Canada Research Chair

Professor Molly Shoichet holds the Tier 1 Canada Research Chair in Tissue Engineering at the University of Toronto.  Dr. Shoichet has published over 675 papers, patents and abstracts and has given over 400 lectures worldwide. She currently leads a laboratory of 25 and has graduated 190 researchers.

BMO

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03

Glassbox

Dr. Sarah Shoker

Founder

Sarah is a postdoctoral fellow at the University of Waterloo where she works on issues related to gender, emerging technologies, and international security. She also founded Glassbox, a social impact firm that analyzes software products  for signs of bias and legal risk.

04

Integrate.ai

Charu Jaiswal 

Machine Learning Scientist

Charu completed her Masters in machine learning and industrial engineering from the University of Toronto. She is a Machine Learning Scientist at Integrate.ai, where she builds predictive models to help large enterprises become more customer-centric.

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05

GoldSpot

Sarah Sun

Chief Data Strategist

Sarah has worked across multiple industries including banking, technology, and natural resources. As Chief Data Strategist for GoldSpot, she is focused on driving long-term growth and revenue through combining the geological sciences with artificial intelligence. 

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06

RBC Capital Markets

Faezeh Khabbaz

Head of Data Science in Global Research

Faezeh holds a PhD in robotics, from the University of Toronto. She leads the RBC Elements team, a primary research and data science team that uses advanced artificial intelligence and analytics to extract meaningful insights from alternative data.

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07

MaRS Discovery District

Asa Motha-Pollock

Research Analyst

Asa Motha-Pollock is a Research Analyst at MaRS Discovery District. She develops data-driven products and reports with a focus on the future of work and the innovation economy. She supports the analytics in the build of planext.

08

Avanade

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Meghana Madhusudhan

Manager of Data Science

Meghana Madhusudhan is a seasoned data science professional with 7+ years of academic and professional experience. She is a Computer Science Engineer who holds a Master’s degree in Business Analytics and Operational Research from Manchester Business School.

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09

Delphia

Serena McDonnell

Senior Data Scientist

Serena is a Senior Data Scientist at Delphia, where she works on combining public opinion and social media data to drive stock market predictions. Serena holds an MSc in Mathematics from the Hong Kong University of Science and Technology, and a BSc in Mathematics and Biology from McGill University.

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10

360insights.com

Nataliya Portman 

Manager of Data Science

Nataliya is a Manager of Data Science at 360insights.com where she is committed to the development of predictive sales channel analytics that will help channel leaders maximize the return on investment of their channel incentive programs. She is also the co-inventor of “Bid-Assist” and “AutoVision”.

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11

Shopify

Jill Cates

Data Scientist

Jill is a data scientist at Shopify. Outside of work, Jill spends her time developing recommender systems and learning Julia (the programming language). She helps run events for PyLadies and PyData Toronto.

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Agenda

March 2, 2020

9:00

Arrival & Breakfast

9:30

Morning Keynote Molly Shoichet How to expand the STEM talent funnel and encourage women to stay in the game  

10:05

Sarah Shoker - The Politics of Data Sets: How Data Collection Produces Algorithmic Discrimination

10:35

Sarah Sun - Data, Privacy & Ethics in Geosciences

11:10

Break

11:30

Asa Motha-Pollock - Planext: Using Data Science to Help Canadians Prepare for the Future of Work

12:00

Meghana Madhusudhan - Data Science in Healthcare: How to Choose and Solve the Right Business Problem

12:25

Jill Cates - A Brief Introduction to Hyperparameter Optimization

12:55

Lunch

2:00

Afternoon Keynote Claudette McGowan -  DemystifAI

2:35

Charu Jaiswal - Machine Learning Models after Deployment: Testing, Monitoring, and Re-training

3:05

Nataliya Portman - Uncertainty-Aware Forecasting for Effective Incentive Management

3:35

Break

3:50

Faezeh Khabbaz - Applying Data Science to the Investment Industry

4:20

Serena McDonnell - Machine Learning in Financial Markets: Pitfalls and Solutions

4:50

Closing Remarks

5:00 

The Afterparty & Social Networking

Agenda

March 3, 2020

9:00

Arrival & Breakfast

9:30

Room A - Measuring Customer Experience with Arya Abdool

Room B - From Agile AI & Minimum Viable Data to Integration and Enablement with Rogayeh Tabrizi

11:30

Lunch

12:45

Room A - Bridging The Gap: Audience Centric Communication with Zainab Bisiolu 

Room B - FairML from Theory to Practice: Lessons Drawn from our Journey to Build a Fair Product with Divya Sivasankaran 

2:45

Break

3:00

Room A - Understanding if your data is inclusive with Cassie Myers

Room B - Knowing Your Worth in Your Career with Yvonne Odonkor

Speakers and schedule subject to change 

01

04

200

DAY
SPEAKERS
PARTICIPANTS

The Venue

Bram and Bluma Appel Salon

789 Yonge St 2nd floor

Toronto, ON M4W 2G8

This year's conference will be hosted in the Bram and Bluma Appel Salon of the Toronto Reference Library.

 

Our Sponsors

Bronze Sponsors: 

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Student Ticket Sponsors: 

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Want to become a sponsor?  Contact us.

hello@womxndsto.com

 

Toronto Womxn in Data Science

STAY AHEAD OF THE INDUSTRY

What

Toronto Womxn in Data Science Conference

When

March 2-3, 2020

Where

789 Yonge St 2nd floor, Toronto, ON M4W 2G8

Contact Us

To learn more, don’t hesitate to get in touch