Jing Conan Wang is a Principal Scientist and leads the machine learning modeling of Intellimize, whose 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 a Senior Research 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 revenue annually. He obtained a Ph.D. degree from Boston University (advisor: Yannis Paschalidis) and a B.E degree from Huazhong Univ. of Sci. and Tech.
He has good knowledge of mathematical modeling. He received the prize of Honorable Mention in Mathematical Contest in Modeling (MCM) 2009, and second prize in Chinese Undergraduate Mathematical Contest in Modeling (CUMCM) 2009. He has extensive experience of 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 of Microsoft Young Fellow in 2009.