Mochen Yang

Mochen Yang is an Associate Professor in the Department of Information and Decision Sciences at the Carlson School of Management, University of Minnesota. His research bridges algorithmic decision-making with practical organizational challenges.

• Education: Ph.D. (2018) and B.A. (2013) from Tsinghua University.

His research focuses on algorithmic decision-making from both "make" and "use" perspectives. From the "make" angle, he designs robust algorithms for information-intensive environments, while the "use" perspective examines how algorithmic decisions affect fairness, privacy, and user trust. Key areas include federated learning, causal inference, and human-AI collaboration.

Recent work explores federated learning partnership dynamics, classifier calibration, and algorithmic governance in short-video platforms. He also investigates user engagement on social media and error impacts in human-AI reliance.

Current affiliations include the University of Minnesota, where he contributes to academic and research initiatives in information systems.