Prof. DU Lilun (杜理論教授)

PhD - Statistics (University of Wisconsin-Madison)
M.S. - Statistics (Nankai University)
B.S. - Mathematics (Nankai University)

Associate Professor

Prof. DU Lilun (杜理論教授)

Contact Information

Address: 7-273, Lau Ming Wai Academic Building
City University of Hong Kong
Phone: +852 34427212
Fax: +852 34420189
E-mail:
lilundu@cityu.edu.hk
Personal Web:
https://github.com/dulilun
LinkedIn

Research Areas

  • Large-scale inference and operations research
  • Empirical Finance

Lilun DU is an Associate Professor of Management Sciences at the College of Business, City University of Hong Kong. He received his Ph.D. in Statistics from University of Wisconsin-Madison in 2015. His research interests include large-scale inference, empirical Bayes methods, and operations research.

 

Recruitment of PhD students

I am interested in taking PhD students to work in the area of statistics, econometrics, and optimization. General requirements are the following:

1. Undergraduate degree in math/stat with GPA >=85/100 from a 985 university (or equivalent). Master degree is not necessary but a master degree from a good university is a plus.

2. English requirement: TOEFL>=79 or IELTS>=6.5, unless your first degree was obtained from an institution where the language of teaching is English

Research Grant

  • PI: "Assumption-lean Variable Selection with FDR Control by Sample-Splitting", SRG-Fund - City University of Hong Kong , Amount: 100,000 (2023-2025) , Lilun DU
  • PI: "A unified framework for multiple testing with auxiliary information: a sample-splitting approach", GRF - RGC , Amount: 396,967 (2021-2023) , Lilun Du and Changliang Zou
  • co-PI: "High- Volume Recruiting: Theory and Applications", GRF - RGC , Amount: 622, 000 (2021-2023) , Qing LI and Lilun DU
  • PI: "Dynamic false discovery rate with application to sequential and spatial pattern detection", ECS - RGC , Amount: 425,304 (2016-2019) , Lilun DU

Teaching Activities (current academic year)

Academic Year Level Title
2024-2025 Postgraduate Degree Applied Linear Statistical Models
  Research Degree Advanced Regression Techniques

Administrative Assignments

Period Name Position
1/2024 - Now MScBDA-Quantitative Analysis for Business Program Director
9/2024 - 8/2026 College Board of CB Member
9/2024 - 8/2025 Departmental Staffing Committee Member

Publications

Journal Publications and Reviews