Learning to act based on long-term payoffs.
Junling Hu is a leading expert in artificial intelligence and data science, and chair for the upcoming AI Frontiers Conference. She was Director of Data Mining at Samsung, where she led an end-to-end implementation of data mining solutions for large-scale and real-time data products. Prior to Samsung, Dr. Hu led a data science team at PayPal and eBay, building predictive models in marketing, sales, and customer churn prediction. Before joining eBay, Dr. Hu managed a data mining group at Bosch research. Prior to Bosch, Dr. Hu was an Assistant Professor at the University of Rochester from 2000 to 2003.
Dr. Hu has more than 1,000 scholarly citations on her papers. She is a recipient of the Sloan Fellowship for Distinguished Women in Engineering, and a recipient of the prestigious CAREER award from the National Science Foundation (NSF). She served twice on NSF review panels for funding proposals from U.S. institutes. Dr. Hu received her Ph.D. in computer science from the University of Michigan in Ann Arbor in 1999, with her focus area in AI, particularly in reinforcement learning.