Data Science for Hire Ed

Data Science for Hire Ed

Bayview A/B
Tuesday, 1:35pm - 2:25pm

A couple of years ago, LinkedIn launched a project to apply our wealth of data about career outcomes to derive better insights about higher education. We realized that we were in a unique position to provide valuable data products for students, alumni, and universities.


In this talk, I'll describe some of the products we've built, including how we determined school similarity and how we identified notable alumni. A key part of this effort has been standardizing the underlying data. I'll discuss these and other product and technology challenges we've faced as we've built products to serve the higher education sector.

GLoria.Lau's picture
Gloria Lau leads the core data products team at Linkedin. Her team focuses on understanding and engaging members to construct the best professional identity on the web, including education and occupation, and builds interesting data products on top of said data. Previously, she was a research scientist at FindLaw, a Thomson Reuters business, where she led the effort on search. She has a MS and PhD from Stanford, and BS from UCLA.