Dr. Yada Zhu is a research staff member from IBM T. J. Watson Research Center. Her research interests include heterogeneous data learning, graph models and partition algorithms, statistical data mining and machine learning with applications to ecommerce, display ad, advanced manufacturing, energy and utility systems. Dr. Zhu has published over 30 research articles on referred journals, books and conference proceedings. Dr. Zhu has served as the Associated Editor of QTQM and ASMBI, program committee of KDD, AAAI, IJCAI, and technical lead in a number of analytics projects driven by AI, machine learning and optimization. Her work has contributed to several commercialized IBM products and proof of concept (POC) assets. Dr. Zhu has 12 issued patents and 21 pending patent disclosures. Her accomplishment has won multiple IBM research awards and innovation awards.