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Affinity Workshop
Women in Machine Learning
Xinyi Chen · Erin Grant · Kristy Choi · Krystal Maughan · Xenia Miscouridou · Judy Hanwen Shen · Raquel Aoki · Belén Saldías · Mel Woghiren · Elizabeth Wood

Wed Dec 09 01:40 AM -- 06:00 PM (PST) @
Event URL: https://wimlworkshop.org/neurips2020/ »
The Women in Machine Learning (WiML) workshop started in 2006 as a way of creating connections within the small community of women working in machine learning in order to encourage mentorship, networking, and interchange of ideas. The workshop has attracted representatives from both academia and industry, whose talks showcase some of the cutting edge research being done by women. In addition to technical presentations and discussion, the workshop aims to incite debate on prospective research avenues and career choices for machine learning professionals. More information about WiML’s history and past events can be found at www.wimlworkshop.org. WiML workshop is overseen by the WiML Board of Directors, who select and support the organizing committee for each year’s workshop.

To help navigate the virtual WiML Workshop @ NeurIPS 2020, we have compiled a list of important links and guidelines below:

1. All activities, such as the talks, mentorship roundtables, sponsor expo, and social events, will take place in the Gather.Town WiML world (https://neurips.gather.town/app/DbxKEp9W7yaLyK9F/wimlworkshop-neurips2020). Please fill out the participation form and accept the WiML Code of Conduct to access the Gather.Town: https://forms.gle/gEiRaZ6VnFXattv57

2. The joint affinity groups poster session will be hosted in a separate Gather.Town link (https://neurips.gather.town/app/2Ae1gXCZb4bI4MW2/affinity-groups-neurips20). *Please note that the poster session will take place on Monday, December 7th at 8:30-10:30p UTC / 3:30-5:30p EST / 12:30-2:30p PST.*

3. Asking questions in live Q&A: To ask the speaker a question, you may: (a) join Zoom by clicking the link at the top of this page; or (b) type your question directly into the Rocket.Chat at the top of this page. The moderator will monitor the chat to convey selected questions to the speaker.

4. Please refer to the WiML workshop program book for details on all the program activities: https://bit.ly/3mOgpXE

5. The Gather.Town guidelines contains information about how to make full use of your experience at Gather.Town as well as troubleshooting common technical issues: https://bit.ly/2Igp45Z

6. Finally, we’d love to hear your thoughts on the virtual workshop experience. Please fill out the exit survey at the end of the workshop and enter for a chance to win a $$25 gift card: bit.ly/3m3v0ht

Author Information

Xinyi Chen (Princeton University)
Erin Grant (UC Berkeley)
Kristy Choi (Stanford University)
Krystal Maughan (University of Vermont)

I'm currently researching isogeny based cryptography, and have also published in fairness and privacy.

Xenia Miscouridou (University of Oxford)
Judy Hanwen Shen (Stanford)
Raquel Aoki (Simon Fraser University)
Belén Saldías (MIT)

Belén Saldías Fuentes is a second-year Ph.D. student at the Lab for Social Machines at MIT. Belén has worked in various research projects where she has contributed to multiple domains such as variational inference applications, human-computer interaction, online RCTs, and natural language processing. Before joining MIT, Belén worked at Harvard University as a research assistant with a focus on finding more efficient ways to create training sets, where she proposed a probabilistic graphical model to this end. Currently, she aims to understand and explore what child-aware NLP would entail.

Mel Woghiren (Electronic Arts UAlberta)
Elizabeth Wood (Broad Institute)

Elizabeth Wood co-founded and co-runs JURA Bio, Inc., an early-stage therapeutics start up focusing on developing and delivering cell-based therapies for the treatment of autoimmune and immune-related neurodegenerative disease. Before founding JURA, Wood was a post-doc in the lab of Adam Cohen at Harvard, after completing her PhD studies with Angela Belcher and Markus Buehler at MIT, and Claus Helix-Neilsen at The Technical University of Denmark. She has also worked at the University of Copenhagen’s Biocenter with Kresten Lindorff-Larsen, integrating computational methods with experimental studies to understand how the ability of proteins to change their shape help modulate their function. Elizabeth Wood is a visiting scientist at the Broad Institute, where she serves on the steering committee of the Machine Inference Algorithm’s Initiative.

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