Analytics Seminar: LinkedIn Data Science - Creating Global Economic Opportunities

Event Details
  • Date/Time:
    • Monday November 16, 2020 - Tuesday November 17, 2020
      3:00 pm - 3:59 pm
  • Location: https://primetime.bluejeans.com/a2m/live-event/xvrbevrh
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact

Polo Chau

Associate Professor, CSE, College of Computing

Associate Director, MS Analytics

Director of Industry Relations, Institute for Data Engineering and Science (IDEaS)

Associate Director of Corporate Relations, Center for Machine Learning (ML@GT)

2018-2021 Provost Teaching and Learning Fellow

Summaries

Summary Sentence: In this talk, Ya Xu will share perspectives from her experience and will highlight a few interesting problems her team tackles at LinkedIn.

Full Summary: No summary paragraph submitted.

Date: Monday, Nov 16, 2020

Time: 3:00pm-4:00pm Eastern Time (ET)

Join virtually: https://primetime.bluejeans.com/a2m/live-event/xvrbevrh

Title

LinkedIn Data Science - Creating Global Economic Opportunities

Abstract

At LinkedIn, data plays an essential role in achieving our vision of creating economic opportunity for every member of the global workforce. In this talk, Ya Xu will share perspectives from her experience and will highlight a few interesting problems her team tackles, such as measuring network effects, addressing cannibalization bias on advertising using budget split, forecasting, data privacy, responsible design, and fairness in our products and ML models.

Speaker

Ya Xu, VP of Engineering and Head of Data Science Team at LinkedIn

Ya joined LinkedIn in 2013 and has since truly helped make LinkedIn a Data First company. She leads an exceptional team of talented data scientists whose work covers metrics, insights, inference and algorithms and they tackle data science challenges across product, sales, marketing, economics, infrastructure, and operations. This centralized group has 300+ data scientists distributed across US (Sunnyvale, Mountain View, San Francisco, New York), India, China, Singapore and Dublin, Ireland. Ya is passionate about bridging science and engineering to create impactful results. She and her team try to keep LinkedIn on the cutting edge while ensuring that its A.I. systems avoid providing biased results while maintaining user privacy. They help the company take active responsibility over the data they collect to ensure fairness and protect privacy.

In addition to her work at LinkedIn, Ya’s contributions outside of her day job, such as the bookshe co-authored on Experimentation and her Stanford commencement speech, are meaningful to the entire industry as well as future Data Scientists. Before LinkedIn, she worked at Microsoft and received a PhD in Statistics from Stanford University.

Ya Xu’s LinkedIn Profile: https://www.linkedin.com/in/ya-xu/

Host

Polo Chau

Associate Professor, CSE, College of Computing

Associate Director, MS Analytics

Director of Industry Relations, Institute for Data Engineering and Science (IDEaS)

Associate Director of Corporate Relations, Center for Machine Learning (ML@GT)

2018-2021 Provost Teaching and Learning Fellow

Additional Information

In Campus Calendar
Yes
Groups

College of Computing, Computational Science and Engineering, GVU Center, Machine Learning, ML@GT, OMS, School of Computational Science and Engineering, School of Computer Science, School of Interactive Computing

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
No keywords were submitted.
Status
  • Created By: ablinder6
  • Workflow Status: Published
  • Created On: Nov 11, 2020 - 3:41pm
  • Last Updated: Nov 11, 2020 - 3:42pm