Dan Yang (杨丹)

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I am an Associate Professor in the Department of Statistics and Data Science at Tsinghua University. I received my PhD in Statistics from the Wharton School at the University of Pennsylvania and bachelor’s degrees in Statistics and Economics from Peking University. Before joining Tsinghua, I was an Associate Professor in the Innovation and Information Management area at the University of Hong Kong (HKU) Business School and an Assistant Professor in the Department of Statistics at Rutgers University. I also served as Associate Director of the Institute of Digital Economy and Innovation at HKU. 

Academic Appointments:

• Associate Professor, Department of Statistics and Data Science, Tsinghua University

• Associate Director, Institute of Digital Economy and Innovation, The University of Hong Kong

• Associate Professor, Innovation and Information Management, Faculty of Business and Economics, The University of Hong Kong

• Assistant Professor, Department of Statistics, Rutgers University

• Postdoc, Statistical and Applied Mathematical Sciences Institute

Education:

• PhD in Statistics, The Wharton School of Business, University of Pennsylvania

• BS in Statistics, School of Mathematical Sciences, Peking University

• BS in Economics, China Center for Economic Research, Peking University

Honours and Awards:

• Faculty Service Award (MBA) of HKU Business School, 2024-2025

• Faculty Outstanding Teacher Award (Postgraduate Teaching) of HKU Business School, 2024-2025

• Faculty Knowledge Exchange Award of HKU Business School, 2023

• Duckworth Fellowship of the Wharton School at University of Pennsylvania (one award per year at Wharton), 2011

• Student Travel Award in Health Policy Statistics Section of ASA at Joint Statistical Meeting, 2011

• Eastern North Atlantic Region Student Paper Award, 2011

• J. Parker Bursk Memorial Prize for excellence in research at Wharton School, 2010

• National Third Prize of Chinese Mathematical Olympics, 2003

Research Interests:

• Tensor data

• High-dimensional statistical inference

• Time series analysis

• Dimension reduction

• Network analysis

• Functional data analysis

• Portfolio management

• Analysis of observational studies and causal inference

• Business analytics in finance, economics, and operations management

Editorial Board :

• Associate Editor, Journal of the American Statistical Association, 2026-

• Associate Editor, Annals of Applied Statistics, 2026-

• Associate Editor, Journal of Business Research, 2025-

• Associate Editor, Statistical Methods and Applications, 2024-

• Associate Editor, Statistica Sinica, 2020-2023