30 April
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WiML Virtual Social @ ICLR 2020

  •  April 30, 2020   — April 30, 2020
  • 09:00 am — 11:00 am

WiML is excited to announce a Virtual Social @ ICLR 2020 involving a Virtual Panel and a Mentoring Session. During the Virtual Panel, we hope to encourage discussions about how COVID-19 has impacted our daily lives and our work and about ongoing research on COVID-19. The panel features ML researchers at various career stages who will talk about their research related to COVID-19 and healthcare, and about the challenges of navigating research, career and personal life in these times. During the Mentoring session, the panelists will each lead a small group discussion with up to 20 people.

Date: Thursday, April 30th, 2020, 9.00am-11.00am Pacific Time. 

Our panelists are:

  • Sasha Luccioni (Director of Scientific Projects in AI for Humanity / Post Doc, MILA)
  • Lily Peng (Product Manager, Google Health)
  • Morine Amutorine (Data Analytics Assistant, Pulse Lab Kampala)
  • Cecilia Mascolo (Full Professor of Mobile Systems, University of Cambridge)
  • Katherine Heller (Assistant Professor in Statistical Science, Duke University and Research Scientist, Google Research)

The panel will be moderated by Sinead Williamson (Assistant Professor of Statistics, University of Texas at Austin).

Everyone registered for ICLR is encouraged to attend! The event is limited to 500 attendees and will operate on a first-come first-served basis. Information about how to participate in the event will be posted on: https://iclr.cc/virtual/socials.html. We expect all attendees to adhere to the WiML Code of Conduct: https://wimlworkshop.org/conduct/. Please join the #wiml channel in the ICLR chat for more event announcements. 

If you are a woman working in machine learning, regardless of whether you are attending ICLR or the WiML social, you can submit your resume to our WiML@ICLR 2020 resume book. The resume book will be shared with WiML sponsors. Submit here by April 30: https://forms.gle/4t2CEc1g9tpbYi2G6

Organizers: Catherine Wah (Google), Ovo Ojameruaye (Simon Fraser University), Ioana Bica (University of Oxford)







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