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

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

Rachel Thomas, PhD

fast.ai / University of San Francisco

Danielle Belgrave, PhD

Microsoft Research

Diana Cai

Princeton University

Kate Niehaus, PhD

Apple

Sarah Tan, PhD

Facebook

Raia Hadsell, PhD

DeepMind

Jennifer Healey, PhD

Adobe

Been Kim, PhD

Google Brain

Jessica Thompson

Université de Montréal

Tamara Broderick, PhD

Massachusetts Institute of Technology

Sarah Osentoski, PhD

Iron Ox

Copyright © Women in Machine Learning 2019