Research and development leadership in the areas of statistical machine learning, data mining, and large-scale algorithms. An impressive career trajectory at top industrial research organizations including Microsoft, Yahoo!, and eBay. A superb track record of deployments of behavioral targeting, recommender systems, click and conversion prediction, real-time bidding, for display advertising, sponsored search, and online marketplaces. Designed and implemented the next-generation behavioral targeting system for Yahoo!, the next-generation recommender system for eBay, click and conversion prediction, impression value prediction, real-time bidding, and query clustering for auction optimization algorithms for Microsoft. First-authored patents in behavioral targeting, sponsored search, large-scale user clustering, recommender systems, real-time bidding for performance ads, Hadoop and grid implementation. First-authored publications in NIPS, KDD, SIGIR, WWW, among others. Our behavioral targeting paper won the Best Application Paper Award at KDD '09, our recommender system paper won the Best Paper Honorable Mention Award at SIGIR '11, and our query clustering for sponsored search auction optimization paper won the Best Industry Government Paper Award Runner Up at KDD '13.

Principal Development Manager @ Lead research and development in sponsored search, contextual advertising, product listing ads, vertical ads; including science areas of query understanding, selection, relevance ranking, click prediction, auction design and optimization, demand and supply shaping. Develop cutting-edge and award-winning algorithms and scientific solutions. From June 2013 to Present (2 years 7 months) Principal Development Lead @ Lead research and development in sponsored search, product ads, globalizatioin, contextual advertising, ad exchange bidding, click and conversion prediction, and marketplace optimization, with a strong machine learning and information retrieval focus. From October 2011 to Present (4 years 3 months) Principal Researcher @ Lead research in machine learning and data mining in application domains of display and contextual ads. Major contributions on click and conversion prediction for performance-based ads, impression valuation, real-time bidding, and yield optimization. From March 2010 to October 2011 (1 year 8 months) Principal Research Scientist @ Lead research in merchandising, recommender systems, user behavioral modeling, large-scale learning from unstructured item data. From February 2009 to March 2010 (1 year 2 months) Sr. Research Scientist @ Research on ad targeting for display and sponsored search, user behavioral modeling, large-scale machine learning, parallel computing using Hadoop. From May 2007 to February 2009 (1 year 10 months)

PhD, Information Systems, Computer Sciences @ University of Wisconsin-Madison From 2004 to 2007 Ye Chen is skilled in: Machine Learning, Data Mining, Recommender Systems, Behavioral Targeting, Sponsored Search, Optimization, Computational Advertising, Hadoop, Large-scale Computing, Ad Exchanges, Real-time Bidding, Large Scale Systems, SEM, Online Advertising, Optimizations