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Zhaohu (Jonathan) Fan

Lecturer

Associate Faculty Director of the Center for AI in Business

jonathan.fan@scheller.gatech.edu

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Academic Areas: IT Management

Functional Areas: AI in Business

Building: Scheller Tower

Office: 862B

Biography

Zhaohu's research and teaching interests lie broadly in data-based analytics. His current research focuses on developing statistical methodology for data sets with complex dependence structures, including functional data and discrete data. His work finds applications in areas such as information systems and economics.

Education

Ph.D. in Business Analytics, University of Cincinnati, 2023

Teaching Interests

The Scheller College of Business is positioned at the intersection of business and technology and is dedicated to education, research, and innovation that advances business and improves the human condition.

Research Interests

Discrete data analysis and functional data analysis with applications to information systems, economics, and finance.

Research Publications

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Year	Title	Journal	Author(s)	Type
2024	Surrogate Method for Partial Association Between Mixed Data with Application to Well-Being Survey Analysis	The Annals of Applied Statistics	Shaobo Li Zhaohu Fan Ivy Liu Philip S. Morrison Dungang Liu	Published Papers	View
Li, Shaobo, Zhaohu Fan, Ivy Liu, Philip S. Morrison, and Dungang Liu. "Surrogate method for partial association between mixed data with application to well-being survey analysis." The Annals of Applied Statistics 18, no. 3 (2024): 2254-2276.

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