Yining Wang

Yining Wang is an Associate Professor of Operations Management at the Naveen Jindal School of Management, University of Texas at Dallas. Previously, he was an Assistant Professor of Information Systems and Operations Management at the University of Florida’s Warrington College of Business. His research focuses on machine learning applications in revenue management and operations research, particularly sequential decision-making under uncertainty, dynamic pricing, and reinforcement learning.

Education: PhD in Machine Learning (Carnegie Mellon University, 2019), advised by Aarti Singh; B.Eng. in Computer Science (Tsinghua University, 2014). Notable internships include roles at Microsoft Research (New York City, Redmond), Symantec Research Labs, and MIT’s EECS department.

Key research interests include bandit algorithms, reinforcement learning, and optimization techniques for revenue management systems. His work has been recognized through awards such as the NeurIPS NVIDIA Pioneer Award (2018) and multiple INFORMS paper competitions.

• Awards: Yao Award (2013), Baidu Future Star Scholarship (2012)
• Grants/Advising: Advised students in machine learning and operations research; active in collaborative research projects on enterprise security and natural language processing.

Collaborative efforts include projects at Microsoft Research (medical informatics, NLP systems) and MIT (spoken dialogue systems). Active in academic conferences like AAAI, NIPS, and ICML.