Jiaxing Guo joined the Demand Platforms R&D team (ex-AOL Platforms R&D group) in July 2013, as a research scientist. He is mainly responsible for developing optimization algorithms for DSP systems, including budget pacing, ROI maximization, optimal bidding strategies, etc. His research interests include machine learning, reinforcement learning, adaptive control, stochastic systems, nonlinear systems, and fault-tolerant control. Jiaxing received a Ph.D. in electrical engineering from the University of Virginia in Charlottesville, VA and a B.S. in automatic control from the Shanghai Jiao Tong University in Shanghai, China.
Advertising Science, Data Science, Machine Learning, Optimization & Feedback Control, Scalable Systems
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