Cenying (Tracy) Yang earned PhD in Information Systems from McCombs Business School at The University of Texas at Austin. Her research is focused on the value of emerging technologies and business innovation. She employs AI / machine learning and econometric methods to extract insights from large scale data in the context of automotive industry, retailing and financial markets. Her research falls in two major areas: IoT based products and business process, and FinTech. 

Yang, Cenying; Feng, Yihao; Whinston, Andrew / Dynamic Pricing and Information Disclosure for Fresh Produce: An Artificial Intelligence Approach. January 2022; In: Production and Operations Management. Vol. 31, No. 1, pp. 155-171

Yang, Cenying; Lu, Tian; Li, Beibei; Lu, Xianghua / Personalizing debt collections: Combining reinforcement learning and field experiment. December 2021; ICIS 2020 Proceedings.

Yang, Cenying; Zhang, Cheng / Dynamic effectiveness of electronic word-of-mouth and online display advertising on offline sales. 2016; Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings.

Cenying, Yang; Cheng, Zhang / Modeling correlated effect and random effect of advertising and word-of-mouth on product diffusion. March 2015; Proceedings of the 48th Annual Hawaii International Conference on System Sciences, HICSS 2015. Vol. 2015-March, pp. 3374-3383