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Ya Xu

Head of Data Science
LinkedIn
Picture
 
Ya Xu has been at LinkedIn for 6 years, and currently heads the Data Science team at LinkedIn. This centralized group has 250+ data scientists distributed across US (Sunnyvale, Mountain View, San Francisco, New York), India and Dublin. Their work covers metrics, insights, inference and algorithms, and we tackle data science challenges across product, sales, marketing, economics, infrastructure and operations. Prior to LinkedIn, Ya was an Applied Researcher at Microsoft in Washington.

She has a BS in Economics and Mathematics from Williams College, and PhD in Statistics from Stanford University.

​In her free time, Ya enjoys spending time with her loving husband and two sons. She’s a spicy food lover, a runner, and a skier on the LinkedIn team.

Technical Vision Talk Abstract: Creating Global Economic Opportunities with Responsible Data ​
​At LinkedIn, data plays an essential role in achieving our vision of creating economic opportunity for every member of the global workforce. It is critical that we are not just using data to create opportunities, but creating them responsibly. This goes beyond just complying with regulations. It starts with taking data privacy protection seriously with Differential Privacy, and avoiding unintended consequences in both our products and ML models to ensure fairness. In this talk, Ya will share perspectives from her experience addressing these challenges at LinkedIn.

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  • 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