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Yifan Yu

Assistant Professor

Department:     Information, Risk & Operations Management

Industry Areas:     Business Statistics, Database Management

Yifan Yu is an assistant professor for the Department of Information, Risk, and Operations Management at The University of Texas at Austin’s McCombs School of Business. His teaching experience includes advanced business data mining, business data analytics, database management, business data communications, and introduction to information systems.

Yu’s research centers on (1) the economics of artificial intelligence and machine learning; (2) business analytics leveraging online unstructured data (i.e., text, images, videos, networks, behavioral sequences); and (3) data analytics to facilitate volunteerism, sustainable operation, and social justice. He applies machine/deep learning, network analysis, econometric/game-theoretical modeling, and experimental methods to tackle questions in these fields. He has published in top journals for information systems professionals (e.g., ISR and MISQ) and received several best paper awards or nominations at the industry’s top conferences (e.g., INFORMS, CIST, and WITS).

Yu has several years of experience as a research analyst and applied scientist for companies such as Amazon and Tencent (WeChat), as well as experience in consulting firms such as BCG, Roland Berger, and Deloitte. He co-founded an online platform company in 2015 and worked as an entrepreneur for two years.

Yu earned a BBA in information management and a master’s in management science from Tsinghua University. He also earned an M.S. in business administration and management and a Ph.D. in information systems, both from the University of Washington.



Editorial Review Board, Information Systems Research, Special Issue on "Analytical Creativity"


Top 10% of Authors on the Social Science Research Network (SSRN) by Total New Downloads


Best Reviewer Award, INFORMS Workshop on Data Science (WDS)


Best Paper Award Nomination, Workshop on Information Technologies and Systems (WITS)


Dean’s Achievement Award, Foster School of Business, University of Washington


Outstanding Teaching Award, ISOM Department, University of Washington

Yifan Yu, Jane (Xue) Tan, and Yong Tan. Understanding Volunteer Crowdsourcing from a Multiplex Perspective.
Information Systems Research. Forthcoming.

Yifan Yu, Yang Yang, Jinghua Huang, and Yong Tan. 2023. Unifying Algorithmic and Theoretical Perspectives: Emotions in Online Reviews and Sales. MIS Quarterly, (47: 1) pp.127-160.

Tingting Song, Jinghua Huang, Yong Tan, and Yifan Yu. 2019. Using User-and Marketer-Generated Content for Box Office Revenue Prediction: Differences between Microblogging and Third-party Platforms. Information Systems Research, 30(1), 191-203.