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Affinity Workshop
WiML Workshop 4
Soomin Aga Lee · Meera Desai · Nezihe Merve Gürel · Boyi Li · Linh Tran · Akiko Eriguchi · Jieyu Zhao · Salomey Osei · Sirisha Rambhatla · Geeticka Chauhan · Nwamaka (Amaka) Okafor · Mariya Vasileva

Fri Dec 10 11:00 AM -- 03:00 PM (PST) @
Event URL: https://sites.google.com/view/wiml2021 »

WiML’s purpose is to enhance the experience of women in machine learning. Our flagship event is the annual Women in Machine Learning (WiML) Workshop, typically co-located with NeurIPS. We also organize an “un-workshop” at ICML, as well as small events at other machine learning conferences such as AISTATS, ICLR, etc.

Our mission 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
Increase the impact of women in machine learning in the community

Toward this goal, we create opportunities for women to engage in substantive technical and professional conversations in a positive, supportive environment (e.g. annual workshop, small events, mentoring program). We also work to increase awareness and appreciation of the achievements of women in machine learning (e.g. directory and profiles 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.

Author Information

Soomin Aga Lee (University of Toronto)
Meera Desai (University of Michigan)
Nezihe Merve Gürel (ETH Zurich)
Boyi Li (Cornell University)
Linh Tran (Autodesk / Imperial College London)
Akiko Eriguchi (Microsoft)
Jieyu Zhao (UCLA)
Salomey Osei (University of Deusto)

Salomey is a research assistant at DeustoTech, University of Deusto. She is also a researcher at Masakhane and the research lead of unsupervised methods for Ghana NLP. She has been involved with a number of organizations such as Black in AI, Women in Machine Learning (WiML) and Women in Machine Learning and Data Science (WiMLDS) as a co-organiser. She is also passionate about mentoring students, especially females in STEM and her long term goal is to share her knowledge with others by lecturing.

Sirisha Rambhatla (University of Waterloo)
Geeticka Chauhan (Massachusetts Institute of Technology)

I work on Natural Language Processing and Machine Learning for Health.

Nwamaka (Amaka) Okafor (University College Dublin)
Mariya Vasileva (Amazon)

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