Women in Data Science (WiDS)
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Women in Data Science (WiDS) Conference Schedule 2019

The Women in Data Science (WiDS) 2019 Conference at Stanford University featured keynotes, several technical vision talks, lunchtime breakouts, a career panel, and multiple opportunities to network with other attendees.

WiDS Stanford, March 4, 2019 (all times PST)
Frances C. Arrillaga Alumni Center
326 Galvez St, Stanford, CA 94305
  

​8:00 - 8:30 am
​(optional)

​Speed Networking 
​Anita Rao, Director of Global Enterprise Services, PayPal
​

9:00 - 9:15 am
WiDS ​​Welcome
​WiDS Co-Directors: Margot Gerritsen, Karen Matthys, and Judy Logan, ​Stanford University

9:15 - 9:30 am
Opening Address
​Jennifer Widom, Dean, Stanford School of Engineering

​9:30 - 10:00 am
Keynote Address
Padmasree Warrior, Former CEO, CDO and Board Member, NIO

10:00 - 10:40 am
Technical Vision Talks
 
​     10:00 - 10:20 am
​​"Using Data Effectively: ​Beyond
​Art and Science"
Hilary Parker, Data Scientist, Stitchfix
     10:20 - 10:40 am
​​"Improving Health Requires ​Targeting and Evidence"
Marzyeh Ghassemi, Assistant Professor, University of Toronto

10:40 - 11:00 am
Morning Break - On livestream: ​WiDS interviews by theCube
 

​11:00 - 11:05 am
WiDS Datathon, ​Winners Announced
Meredith Lee, Executive Director, West Big Data Hub

11:05 - 11:45 am
Technical Vision Talks
     ​11:05 - 11:25 am
​​"Infusing Structure into Machine Learning Algorithms"
​Anima Anandkumar​, Professor of Computing and Mathematical Sciences at CalTech and Director of Research in Machine Learning, ​NVIDIA
     11:25 - 11:45 am
"Understanding the Limitations of AI: When Algorithms Fail"
Timnit Gebru, Research Scientist on the Ethical AI Team,
​Google

11:45 - 12:15 pm
Keynote Address
Cynthia Dwork, Gordon McKay Professor of Computer Science, Harvard University

12:15 - 1:45 pm
Lunch and Breakout Sessions -
​On livestream: WiDS interviews by theCube
 

1:45 - 2:15 pm
Fireside Chat
Yoky Matsuoka, Vice President, Google Health
in conversation with
Lori Sherer, Partner, Bain & Company

2:15 - 3:15 pm
Technical Vision Talks
     2:15 - 2:35 pm
​"Machine Learning and the Evaluation of Criminal Evidence"
Alicia Carriquiry Distinguished Professor and President's Chair in Statistics | Director of CSAFE, Iowa State University
     2:35 - 2:55 pm
"Building Trust in the Digital Age"
​Yinglian Xie, CEO and Co-Founder, DataVisor
     2:55 - 3:15 pm
​"Evolution of Machine Learning for NIF Optics Inspection" 
Laura Kegelmeyer, Scientist / Engineer, Lawrence Livermore National Laboratory (LLNL)

3:15 - 3:30 pm
Afternoon Break ​- On livestream: ​WiDS interviews by theCube
 

3:30 - 4:10 pm
Career Panel 
Moderated by Margot Gerritsen, Senior Associate Dean, Stanford University

Panelists: 
  • ​Natalie Evans Harris, Co-founder and Head of Strategic Initiatives, ​BrightHive, Inc
  • Marzyeh Ghassemi, Assistant Professor, University of Toronto
  • Emily Glassberg Sands, Head of Data Science and Data Engineering, Coursera
  • ​Yinglian Xie, CEO and Co-Founder, DataVisor

​4:10 - 4:50 pm
Technical Vision Talks
     4:10 - 4:30 pm
​"Better Reinforcement Learning for Human in the Loop Systems"
Emma Brunskill, Assistant Professor, Computer Science,​Stanford University
     4:30 - 4:50 pm
​"Filling in Missing Data with Low Rank Models"
​​Madeleine Udell, Assistant Professor of Operations Research & Information Engineering, & Richard and Sybil Smith Sesquicentennial Fellow, Cornell University​

4:50 - 5:00 pm
Closing Remarks
Margot Gerritsen, Senior Associate Dean, Stanford University

5:00 - 7:00 pm
Networking Reception

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© 2022 Women in data science. Women in Data Science is a Registered trademark of Stanford University. 

  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Research
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conferences
    • WiDS Stanford 2023 Agenda
    • WiDS Stanford 2023 Speakers
    • WiDS Regional Events 2023
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2022
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Resources >
      • Datathon Press Release
    • WiDS Datathon Workshops 2023
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Next Gen >
      • Next Gen Resources
      • Next Gen Committee