Jinyang Zheng is an assistant professor of management at Purdue University's Daniels School, specializing in information systems. With a focus on an economic perspective and predominantly empirical approaches, his research examines four main streams: managing content platforms, moderating online two-sided platforms, human-AI interactions, and digital resilience, employing diverse methodologies, including causal inference techniques such as Rubin's and Pearl's frameworks, along with structural models and unstructured data analysis. His research findings have been published in esteemed business journals such as Management Science, Information Systems Research, and MIS Quarterly, and have been recognized through numerous accolades, including the 2023 Gordon Davis Young Scholar Award by INFORMS Information Systems Society, the 2023 Jay Ross Young Faculty Scholar Award at Daniels School, and multiple best paper awards or nominations at premier conferences, including ICIS, WISE, CIST, and CSWIM.

Jinyang has developed and teaches courses such as "Analyze Unstructured Data" in the BAIM (Business Analytics and Information Management) program, as well as "Data Tech for Research" in the Ph.D. program. Additionally, he has taught "Database Systems" in undergraduate programs. In all the programs, he has consistently been listed as an outstanding or distinguished teacher.

Jinyang completed his Ph.D. degree in information systems from the University of Washington in 2017. Prior to that, he obtained his bachelor's degree from the Department of Statistics at Fudan University in 2013.