Supporting women in machine learning

Our flagship event is the annual WiML Workshop, a technical workshop for women to present their research in machine learning. Looking for local meetups? Check out WiMLDS, another organization that supports women in machine learning by organizing local meetups.

Mission

Our goal is to enhance the experience of women in machine learning, and thereby increase the number and impact of women in machine learning.

Projects

We work to increase awareness and appreciation of the achievements of women in machine learning. Our programs help women build their technical confidence and their voice, and our publicity efforts help ensure that women in machine learning and their achievements are known in the community.

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Directory of Women in Machine Learning

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Mailing List

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Profiles of Women in Machine Learning

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WiML Board of Directors

Jane Wang, PhD

DeepMind

Amy Zhang

McGill University

Ramya Ramakrishnan, PhD

ASAPP

Bethany Edmunds, PhD

Northeastern University

Po-Ling Loh, PhD

University of Wisconsin - Madison

Jessica Schrouff, PhD

Google Health

Sarah Poole, PhD

Verily Life Sciences

Alicia Yi-Ting Tsai

UC Berkeley

Sinead Williamson, PhD

University of Texas at Austin

Meghana Bhimarao

Kaiser Permanente

Savannah Thais, PhD

Princeton University

Jessica Montgomery

The Royal Society

Keren Gu

DeepMind

Ilene Cartright

Apex.AI

Brandie Nonnecke, PhD

CITRIS Policy Lab, UC Berkeley

Feryal Behbahani, PhD

DeepMind

Jenny Sy, MBA

USA for UNHCR, the UN Refugee Agency

Diana Cai

Princeton University

Kate Niehaus, PhD

Apple

Sarah Tan, PhD

Facebook

Raia Hadsell, PhD

DeepMind

Jennifer Healey, PhD

Adobe

Sarah Osentoski, PhD

Iron Ox

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