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.
FEATURED INDUSTRY EXPERTS
Global Executive Officer
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.
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.
Dr. Sarah Shoker
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.
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.
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.
RBC Capital Markets
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.
MaRS Discovery District
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.
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.
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.
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”.
2020 Workshop Facilitators
March 2, 2020
Arrival & Breakfast
Morning Keynote Molly Shoichet How to expand the STEM talent funnel and encourage women to stay in the game
Sarah Shoker - The Politics of Data Sets: How Data Collection Produces Algorithmic Discrimination
Sarah Sun - Data, Privacy & Ethics in Geosciences
Asa Motha-Pollock - Planext: Using Data Science to Help Canadians Prepare for the Future of Work
Meghana Madhusudhan - Data Science in Healthcare: How to Choose and Solve the Right Business Problem
Jill Cates - A Brief Introduction to Hyperparameter Optimization
Afternoon Keynote Claudette McGowan - DemystifAI
Charu Jaiswal - Machine Learning Models after Deployment: Testing, Monitoring, and Re-training
Nataliya Portman - Uncertainty-Aware Forecasting for Effective Incentive Management
Faezeh Khabbaz - Applying Data Science to the Investment Industry
Serena McDonnell - Machine Learning in Financial Markets: Pitfalls and Solutions
The Afterparty & Social Networking
March 3, 2020
Arrival & Breakfast
Room A - Measuring Customer Experience with Arya Abdool
Room B - From Agile AI & Minimum Viable Data to Integration and Enablement with Rogayeh Tabrizi
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
Room A - Understanding if your data is inclusive with Cassie Myers
Room B - Knowing Your Worth in Your Career with Yvonne Odonkor