• LI, William

    Chair Professor of Management

  • Email:

    wlli@saif.sjtu.edu.cn

  • 　　

    　　

  • Support Staff:

    Yaqian Ding

  • Support Staff Email:

    yqding@saif.sjtu.edu.cn

  • Research Interests

    Industrial and Business Statistics, Experiment Design, Business Analytics and Big Data, FinTech.

Dr. William Li is a Chair Professor of Management at the Shanghai Advanced Institute of Finance (SAIF), Shanghai Jiao Tong University. Prior to joining SAIF in 2018, Professor Li was a tenured full professor and held the Eric Jing Professorship at the Carlson School of Management of the University of Minnesota. He has also served as an invited professor at the School of Management at Fudan University.

Professor Li's research areas encompass industrial and business statistics, experimental design, business analysis and big data, and financial technology. He has published nearly 40 high-level academic papers in leading journals in the fields of both business and applied statistics (particularly in top journals recognized for experimental design), such as INFORMS Journal on Computing, Journal of Operations Management, Journal of the American Statistical Association, and Technometrics. Additionally, he is a co-author of the widely used statistics textbook Applying Linear Statistical Model (5th edition), which has been extensively cited in academia.

In recognition of his academic contributions, Professor Li was awarded the prestigious Fellow of the American Statistical Association in 2013.

Professor Li has extensive teaching experience and has received numerous accolades for his exceptional teaching abilities. He has won the Excellent Teaching Award five times at the University of Minnesota. At SAIF, he received the SAIF Teaching Award in 2019 and the Shanghai Jiao Tong University Excellent Educator Award in 2021.


Journal Publications

1. Chen, Kedong, Hung Chung Su, Kevin Linderman, and William Li, 2025, Last-minute coordination: Adapting to demand to support last-mile operations, Journal of Operations Management.

2. He, Li, William Li, Difan Song, and Min Yang, 2024, A Systematic View of Information-Based Optimal Subdata Selection: Algorithm Development, Performance Evaluation, and Application in Financial Data, Statistica Sinica.

3. Zhou, Qi, William Li, and Hongquan Xu, 2023, Utilizing individual clear effects for intelligent factor allocations and design selections, Journal of Quality Technology.

4. Bi, Xuan, Gediminas Adomavicius, William Li, and Annie Qu, 2022, Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness, INFORMS Journal on Computing.

5. Chen, Ping Yang, Ray Bing Chen, Jui Pin Li, and William Li, 2022, Particle swarm exchange algorithms with applications in generating optimal model-discrimination designs, Quality Engineering.

6. Chen, Kedong, William Li, and Sijian Wang, 2020, An Easy-to-Implement Hierarchical Standardization for Variable Selection Under Strong Heredity Constraint, Journal of Statistical Theory and Practice.

7. Li, William, Robert W. Mee, and Qi Zhou, 2019, Using Individual Factor Information in Fractional Factorial Designs, Technometrics.

8. Yang, Po, and William Li, 2019, Some properties of foldover designs with column permutations, Metrika.

9. Errore, Anna, Bradley Jones, William Li, and Christopher J. Nachtsheim, 2017, Using definitive screening designs to identify active first-and second-order factor effects, Journal of Quality Technology.

10. Errore, Anna, Bradley Jones, William Li, and Christopher J. Nachtsheim, 2017, Benefits and Fast Construction of Efficient Two-Level Foldover Designs, Technometrics.

11. Li, William, and Dennis K.J. Lin, 2016, A Note on Foldover of 2k − p Designs With Column Permutations, Technometrics.

12. Yang, Po, Chang Yun Lin, and William Li, 2015, Blocked semifoldovers of two-level orthogonal designs, Metrika.

13. Li, William, Qi Zhou, and Runchu Zhang, 2015, Effective designs based on individual word length patterns, Journal of Statistical Planning and Inference.

14. Yang, Po, and William Li, 2014, Blocked two-level semifoldover designs, Journal of Statistical Planning and Inference.

15. Li, William, and Ji Zhu, 2014, Comment: Model selection with strong and weak heredity constraints, Technometrics.

16. Li, William, Christopher J. Nachtsheim, Ke Wang, Robert Reul, and Mark Albrecht, 2013, Conjoint analysis and discrete choice experiments for quality improvement, Journal of Quality Technology.

17. Tichon, Jenna G., William Li, and Robert G. Mcleod, 2012, Generalized minimum aberration two-level split-plot designs, Journal of Statistical Planning and Inference.

18. Agboto, Vincent, William Li, and Christopher Nachtsheim, 2011, A comparison of three approaches for constructing robust experimental designs, Journal of Statistical Theory and Practice.

19. Choi, Nam Hee, William Li, and Ji Zhu, 2010, Variable selection with the strong heredity constraint and its oracle property, Journal of the American Statistical Association.

20. Stillerman, Allan, Christopher Nachtsheim, William Li, Mark Albrecht, and Joshua Waldman, 2010, Efficacy of a novel air filtration pillow for avoidance of perennial allergens in symptomatic adults, Annals of Allergy, Asthma and Immunology.

21. Agboto, Vincent, William Li, and Christopher Nachtsheim, 2010, Screening designs for model discrimination, Journal of Statistical Planning and Inference.

22. Jones, Bradley A., William Li, Christopher J. Nachtsheim, and Kenny Q. Ye, 2009, Model-robust supersaturated and partially supersaturated designs, Journal of Statistical Planning and Inference.

23. Jones, Bradley A., William Li, Christopher J. Nachtsheim, and Kenny Q. Ye, 2007, Model discrimination-another perspective on model-robust designs, Journal of Statistical Planning and Inference.

24. Lu, Xuan, William Li, and Miao Xie, 2006, A class of nearly orthogonal arrays, Journal of Quality Technology.

25. Li, Lexin, and William Li, 2005, Tabu Search and Perturbation Methods in the Construction of Supersaturated Designs, American Journal of Mathematical and Management Sciences.

26. Cheng, Shao Wei, William Li, and Kenny Q. Ye, 2004, Blocked nonregular two-level factorial designs, Technometrics.

27. Li, William, and Dennis K.J. Lin, 2003, Optimal foldover plans for two-level fractional factorial designs, Technometrics.

28. Ye, Kenny Q., and William Li, 2003, Some properties of blocked and unblocked foldovers of 2k-p designs, Statistica Sinica.

29. Li, William, Dennis K.J. Lin, and Kenny Q. Ye, 2003, Optimal foldover plans for two-level nonregular orthogonal designs, Technometrics.

30. Bingham, Derek R., and William Li, 2002, A class of optimal robust parameter designs, Journal of Quality Technology.

31. Li, William, and Christopher J. Nachtsheim, 2000, Model-robust factorial designs, Technometrics.

32. Ye, Kenny Q., William Li, and Agus Sudjianto, 2000, Algorithmic construction of optimal symmetric Latin hypercube designs, Journal of Statistical Planning and Inference.

33. Li, William W., and C. F.Jeff Wu, 1998, Comments on li and wu (1997), Technometrics.

34. Li, William W., and C. F.Jeff Wu, 1997, Columnwise-pairwise algorithms with applications to the construction of supersaturated designs, Technometrics.

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