30 April
Time Left

WiML Virtual Social @ ICLR 2020

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

WiML is hosting a virtual social, involving a panel and mentoring session, at ICLR 2020. The organizers are Catherine Wah, Ovo Ojameruaye, and Ioana Bica. During the event, 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. The panel will be moderated by Sinead Williamson (Assistant Professor of Statistics, University of Texas at Austin). The 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)

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







Copyright © Women in Machine Learning