Speaker: Krishnaram Kenthapadi

Tech Lead Fairness, Transparency, Explainability & Privacy Efforts @LinkedIn
Qcon

Krishnaram Kenthapadi is part of the AI team at LinkedIn, where he leads the fairness, transparency, explainability, and privacy modeling efforts across different LinkedIn applications. He also serves as LinkedIn's representative in Microsoft's AI and Ethics in Engineering and Research (AETHER) Committee. He shaped the technical roadmap and led the privacy/modeling efforts for LinkedIn Salary product, and prior to that, served as the relevance lead for the LinkedIn Careers and Talent Solutions Relevance team, which powers search/recommendation products at the intersection of members, recruiters, and career opportunities. Previously, he was a Researcher at Microsoft Research Silicon Valley, where his work resulted in product impact (and Gold Star / Technology Transfer awards), and several publications/patents. He received his Ph.D. in Computer Science from Stanford University in 2006. He serves regularly on the program committees of KDD, WWW, WSDM, and related conferences, and co-chaired the 2014 ACM Symposium on Computing for Development. He received Microsoft's AI/ML conference (MLADS) distinguished contribution award, CIKM best case studies paper award, SODA best student paper award, and WWW best paper award nomination. He has published 35+ papers, with 2500+ citations and filed 130+ patents. He has taught a tutorial on privacy-preserving data mining at KDD 2018, instructed a course on artificial intelligence at Stanford, and given several talks on his research work.

Find Krishnaram Kenthapadi at

Tracks

Monday, 11 November

Tuesday, 12 November

Wednesday, 13 November