Upcoming Events

  • Data Feminism Book Club Series Part 2
    Sun., Aug. 22
    Zoom details to follow registration
    Aug. 22, 7:00 p.m. EDT
    Zoom details to follow registration
    Data Feminism Network (DFN) and Toronto Womxn in Data Science welcome you to a special 3-part book club series! Over 3 virtual sessions, we will be delving into Data Feminism, by Catherine D’Ignazio and Lauren F. Klein.
  • Data Feminism Book Club Series Finale
    Sun., Sep. 26
    Zoom details to follow
    Sep. 26, 7:00 p.m. EDT
    Zoom details to follow
    Data Feminism Network (DFN) and Toronto Womxn in Data Science welcome you to a special 3-part book club series! Over 3 virtual sessions, we will be delving into Data Feminism, by Catherine D’Ignazio and Lauren F. Klein.

Our events are curated for professional growth, networking and skill-building. We aim to promote professional development and employment readiness. We provide awareness, education and advancement to womxn in the tech industry.

Our annual Womxn in Data Science Conference features leading industry experts in diverse sectors including academia, government, and start-ups. 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. All of our speakers are womxn identified.


2021 Conference Speakers




Angie Dobbs

Director of Fraud & Risk

Angie joined Wave as Director of Fraud & Risk in June 2016 after 5 years at TD Bank in Card Fraud Analytics. Bringing her experience from the issuing side to the merchant side at Wave, she is responsible for all things risk: chargebacks, fraud and merchant risk prevention. Angie holds a Master’s Degree in Statistics from the University of Guelph.


Magnet Digital


Janice Liu

SVP & General Manager of Magnet Digital

Janice is an experienced digital marketer and entrepreneur who, through her innate leadership qualities and passion projects, works to inspire a new generation of women in science engineering technology and mathematics (STEM). Her leadership of Magnet enables smarter, more impactful advertising and marketing decisions through market-leading consulting services and proprietary data solutions.




Chari Estevez

Training & Development Leader

Chari is the Senior Director of Training & Sales, developing training courses and supplementary tools for both sales and leadership teams throughout her organization. She has developed hundreds of salespeople and trains them to become masters in closing a sale. She's passionate about her work in Leadership Development and helping her mentees reach the next level in their career! Chari aspires to inspire all womxn, particularly those of colour, to achieve their full potential and feel empowered to succeed in their industry. 




Raha Afkari

Director of Advanced Analytics

Raha has lead teams across all areas of financial services for more than 10 years. Her team of data scientists utilizes advanced analytics and artificial intelligence to drive insights for executives and business lines at Scotiabank. She is also an active mentor in Women in Data Analytics.



CBC Digital Strategy and Product

Afsoon Soudi

Senior Manager Machine Learning and Data Science

Afsoon has a PhD in Physics from Washington State University and currently leading machine learning developers and Data Scientist in CBC to develop data-driven systems for CBC contents. Afsoon co-founded an award winning software company, IRYStec, which was acquired by Faurencia. Afsoon is passionate about empowering women, specifically in science and technology. She volunteers her time for mentoring founders and individuals in their growth.



ThinkData  Works

Heather Chapple

Client Director

Heather Chapple is the Client Director for ThinkData Works, a leading DataOps company. Her career has spanned not-for-profit, government and tech where she applies human centred design, data, and strategy to enable organizations to be more adaptive, resilient and effective.



DataTechcon,  Healthtech, CompTIA

Tobe Okeke

Founder, Data & Analytics Manager,

Data Analytics SME

Tobe is a Founder and Chief Data scientist at Data Techcon. Her expertise lies in leveraging advanced analytics and machine learning to build analytics solutions & models for decision making. She has a master’s degree in CIS, bachelors in Computer science and an executive certification in analytics from MIT. She founded Data Techcon in pursuit of Her Mission to promote data literacy through its data training program especially among minorities in underserved communities. She has trained and mentored more 1000+ future data science and analytics leaders and built numerous analytics solutions for clients. 


Hardian Health

Stephanie Kuku

Health Technology Director and Advisor

Stephanie is a Senior Advisor in Digital Health at the World Health Organisation’s Department of Digital Health & Innovation, and a senior consultant at Hardian Health. With over 15 years clinical and research experience, she trained and worked in the NHS. She is an NHS England Clinical Entrepreneur and Honorary Senior Research Fellow at UCL where she was awarded a Doctorate in Clinical Research. Her current research interests are in Health Equity, and optimising datasets used for AI and Data-driven health technologies. Stephanie is a regular speaker on technology and the future of health.



Kristin Wozniak

SVP, Insight, Analytics, and Strategy,

Growth Director, Instructor

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.

Cossette Media, Impact Research, Miami Ad School



Department of Urban Studies & Planning, MIT

Catherine D'Ignazio

Assistant Professor of Urban Science & Planning Director, Data + Feminism Lab

D’Ignazio is an Assistant Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT. She is also Director of the Data + Feminism Lab which uses data and computational methods to work towards gender and racial equity, particularly in relation to space and place. She has run reproductive justice hackathons, designed global news recommendation systems, created talking and tweeting water quality sculptures, and led walking data visualizations to envision the future of sea level rise. Her research at the intersection of technology, design & social justice has been published in the Journal of Peer Production, the Journal of Community Informatics, and the proceedings of Human Factors in Computing Systems (ACM SIGCHI).



Susan Shu Chang

Principal Data Scientist

Susan is a Principal Data Scientist at Clearbanc, a fintech company providing growth capital for online businesses. She is a committee member of Aggregate Intellect, a machine learning platform with 13k+ YouTube subscribers. She is also the founder and sole developer of Quill Game Studios. You can find Susan speaking at conferences such as PyCons, TMLS, and events like this one!



Aditi Trivedi

Data Analyst

Aditi is a data analyst at 500px, where she works closely with senior leadership to meet all analytics needs of the organization. Prior to this she worked in data science and analytics in the advertising industry, before making the switch to tech. She holds a Bachelor of Science in Chemistry from McMaster University, as well as a Bachelor of Science in Computer Science from Brock University. Aditi is passionate about data and building agile workflows for data science projects, similar to software development. In her spare time she likes to learn new frameworks, and is currently building models using PyTorch and Sagemaker.



AI Global

Ashley Casovan

Executive Director

Ashley has been at the forefront of building tools and policy interventions to support the responsible use and adoption of innovative technologies, both with her work at the Government of Canada, and as the Executive Director of AI Global, a multi-stakeholder non-profit dedicated to mitigating harm and unintended consequences of AI systems. As a recognized leader in the social tech community she has developed a strong reputation for developing workable governance for data, artificial intelligence, and open source tools. Her work helps to inform government, industry, and academic research.

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