WiMLDS Montreal #1: Launch Edition & NeurIPS Conference Special

Montreal Women in Machine Learning and Data Science
Montreal Women in Machine Learning and Data Science
Public group


490, rue De La Gauchetière Ouest · Montréal, qc

How to find us

Shopify's office is located a 5-minute walk from the Palais des congrès de Montréal (NeurIPS conference venue) and a 3-minute walk from the Square-Victoria-OACI subway station.

Location image of event venue


We’re excited to announce the first edition of the WiMLDS Montreal meetups! The event will coincide with the Conference on Neural Information Processing Systems (NeurIPS), AI’s most prominent conference and which is taking place in Montreal this year. Whether you're a data professional or simply curious, you are welcome regardless of your technical level or your gender. The talks will be entirely in English, as we expect international participants for this special edition.


6:00 pm—Doors open
6:30 pm—Talks
8:00 pm—Networking


Sergül Aydöre, Assistant Professor at the Department of Electrical and Computer Engineering of Stevens Institute of Technology
Using Feature Grouping as a Stochastic Regularizer for High Dimensional Noisy data

Sergül is an Assistant Professor at the Stevens Institute of Technology and an associate member of Parietal team at Inria (Saclay, France). Her research interests include developing, improving and understanding machine learning algorithms with possible but not limited application to neuroimaging. Previously, she was a machine learning scientist at Amazon’s demand forecasting team where she built neural network models to predict demands of millions of products to enable better in-stock positions.



Kathleen Siminyu, Head of Data Science at Africa's Talking
Building Analytics and Data Science at A Start-Up

Kathleen Siminyu is Head of Data Science at Africa’s Talking and Team Lead at WiMLDS Nairobi in Kenya. Kathleen was a speaker at major events including the AI for Good Global Summit in Geneva, Switzerland and the Global Symposium on AI & Inclusion in Rio de Janeiro, Brazil. She gave talks on topics such as improving the representation of African women in machine learning and AI, advancing equality in the global south and why women’s voices are needed to ensure that the benefits of automation and AI are shared by all. She will be in Montreal to talk about the role of civil society in the age of AI at the NeurIPS workshop on AI for Social Good.



Rachel Thomas, Co-founder of fast.ai & Professor at the University of San Francisco
What Scares Me About AI

Rachel Thomas was selected by Forbes as one of "20 Incredible Women in AI", earned her math PhD at Duke, and was an early engineer at Uber. She is a professor at the University of San Francisco and co-founder of fast.ai, which created the “Practical Deep Learning for Coders” course that over 200,000 students have taken. Rachel is a popular writer and keynote speaker. Her writing has been read by nearly a million people; has been translated into Chinese, Spanish, Korean, & Portuguese; and has made the front page of Hacker News 9x.



Luba Elliott, AI Curator
Artistic Applications of AI

Luba Elliott is a curator, artist and researcher specializing in artificial intelligence in the creative industries. She is currently working to educate and engage the broader public about the latest developments in creative AI through monthly meetups in London (UK), talks and tech demonstrations. This year, she is curating Impakt Festival in October in Netherlands, themed on post-truth and AI. As a curator, she organized workshops and exhibitions on art and AI for The Photographers’ Gallery, the Leverhulme Centre for the Future of Intelligence and Google. Luba is also one of the organizers of the NeurIPS workshop on Machine Learning for Creativity and Design.



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