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Author Information
Stephen Macke (University of Illinois at Urbana-Champaign)
Hongzi Mao (MIT)
Caroline Lemieux (University of California Berkeley)
Saim Salman (Brown University)
Rishikesh Jha (University of Massachusetts Amherst)
Hanrui Wang (Massachusetts Institute of Technology)
Shoumik P Palkar (Stanford University)
Tianqi Chen (University of Washington)
Thomas Pumir (Princeton University)
Vaishnav Janardhan (Akamai Technologies)
Vaishnav Janardhan is a Principal Architect on the Media Engineering team at Akamai and leads the Data Insights efforts towards using Applied Machine Learning techniques to solve performance and scalability challenges in running a large distributed caching platform. Vaishnav previously worked on scaling Akamai’s video delivery platform for the rapid growth of online video. He has published and patented his work on the scaling the delivery platform through re-write of the file-systems, micro-architectural platform optimizations for faster response times, worked with the academic community to develop new caching algorithms for hierarchical caching and scaling monolithic web-caching proxy to work on highly parallel cpu architectures. Before Akamai, during his Graduate studies at Columbia he worked on developing a new online streaming protocols using peer-to-peer transport for highly cost effective and performant streaming platform.
adit bhardwaj (Akamai technologies)
Ed Chi (Google Inc.)
d H. Chi is a Principal Scientist at Google, leading several machine learning research teams focusing on neural modeling, inclusive ML, reinforcement learning, and recommendation systems in Google Brain team. He has delivered significant improvements for YouTube, News, Ads, Google Play Store at Google with >325 product launches in the last 6 years. With 39 patents and over 120 research articles, he is also known for research on user behavior in web and social media. Prior to Google, he was the Area Manager and a Principal Scientist at Palo Alto Research Center's Augmented Social Cognition Group, where he led the team in understanding how social systems help groups of people to remember, think and reason. Ed completed his three degrees (B.S., M.S., and Ph.D.) in 6.5 years from University of Minnesota. Recognized as an ACM Distinguished Scientist and elected into the CHI Academy, he recently received a 20-year Test of Time award for research in information visualization. He has been featured and quoted in the press, including the Economist, Time Magazine, LA Times, and the Associated Press. An avid swimmer, photographer and snowboarder in his spare time, he also has a blackbelt in Taekwondo.
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