Supporting women in machine learning

Since our first workshop in 2006, WiML has been creating opportunities for women in machine learning to present and promote their research.

Mission

Our goal is to enhance the experience of women in machine learning, and thereby increase the number of women in machine learning, help women in machine learning succeed professionally, and increase the impact of women in machine learning. Toward this goal, we create opportunities for women to engage in substantive technical and professional conversations in a positive, supportive environment. We also work to increase awareness and appreciation of the achievements of women in machine learning. Our programs help women build their technical confidence and our publicity efforts help ensure that women in machine learning and their achievements are known in the community.

  • 2011 WiML Workshop participant

    “I had never attended NIPS before so meeting people the first day through WiML made the rest of the conference less intimidating. It was comforting having familiar faces in the crowd, especially other students who often looked as lost as I did. By the end of the conference I had made a number of WiML friends who I hope to see again at future NIPS.”

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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WiML Google group

The WiML Google Group is the mailing list of the Women in Machine Learning network. It is intended for any female student, post-doc, academic researcher, industrial researcher, a

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Profiles on women in machine learning

We post regular profiles on the technical accomplishments of women working in machine learning. Find them on Facebook and Twitter.

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Public directory of women in machine learning

This is a (necessarily incomplete) list of women active in machine learning maintained by the Women in Machine Learning (WiML) organization. If you are organizing an event related

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WiML Executive Board

Raia Hadsell, PhD

DeepMind

Jennifer Healey, PhD

Intel Labs

Marzyeh Ghassemi

Massachusetts Institute of Technology

Allison Chaney, PhD

Princeton University

Sinead Williamson, PhD

University of Texas at Austin

Finale Doshi-Velez, PhD

Harvard University

Jenn Wortman Vaughan, PhD

Microsoft Research NYC

Svitlana Volkova, PhD

Pacific Northwest National Laboratory

Katherine Heller, PhD

Duke University

Barbara Engelhardt, PhD

Princeton University

Been Kim, PhD

Allen Institute for Artificial Intelligence & University of Washington

Jessica Thompson

Université de Montréal

Tamara Broderick, PhD

Massachusetts Institute of Technology

Sarah Brown, PhD

University of California, Berkeley

Katie Kinnaird, PhD

Brown University

Gallery

Photos from previous WiML Workshops

Copyright © Women in Machine Learning 2017