Jing Conan Wang is a Senior Principal Scientist (Senior Director-level) in Intellimize and leads its machine learning efforts. Intellimize’s AI dynamically personalizes mobile and desktop websites for each unique visitor in real-time – moving prospects quickly through customers’ funnel and increasing conversion rates.

He was Senior Engineer at Google Brain and worked on improving recommender systems using reinforcement learning and deep learning between 2018 and 2019. Prior to Google Brain, he worked at Google Ads between 2014 and 2017, where he drove 20+ modeling launches that bring Google more than $200M in revenue annually. He obtained a Ph.D. degree from Boston University (advisor: Yannis Paschalidis) and B.E. degree from Huazhong Univ. of Sci. and Tech.

He has good knowledge of mathematical modeling. He received a prize of Honorable Mention in Mathematical Contest in Modeling (MCM) 2009, and the second prize in the Chinese Undergraduate Mathematical Contest in Modeling (CUMCM) 2009. He has extensive experience in research and open-source development. He was a participant of Google Summer of Code 2012 and a mentor for Google Summer of Code 2013, both for the Honeynet Project. He was a finalist for Microsoft Young Fellow in 2009.

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