Zhiyang Zhou , PhD
1240 N 10th St., Milwaukee, WI 53205
zhou67 uwm edu
ABOUT
Zhiyang is an Assistant Professor of Biostatistics
in the Joseph J. Zilber College of Public Health at the University of Wisconsin-Milwaukee.
Prior to the current appointment, he was an Assistant Professor in the Department of Statistics at the University of Manitoba.
Currently, Zhiyang’s research is focused on the intersection of statistics and machine learning,
where he explores both methodological and theoretical dimensions.
His enthusiasm for collaborative and applied research
underscores his commitment to leveraging statistical insights to solve real-world problems.
See his curriculum vitae (updated on 2024/Sep/01).
APPOINTMENTS
2023–, Assistant Professor (Tenure-Track), Joseph J. Zilber College of Public Health , University of Wisconsin-Milwaukee , United States
2021–23, Assistant Professor (Tenure-Track), Department of Statistics , University of Manitoba , Canada
2020–21, Postdoctoral Trainee, Department of Preventive Medicine , Northwestern University , United States
Supervisor: Lihui Zhao , Associate Professor
2019, Sessional Instructor, Department of Statistics and Actuarial Science , Simon Fraser University , Canada
EDUCATION
2015–20, Ph.D. in Statistics, Simon Fraser University , Canada
Supervisor: Richard A. Lockhart , Professor, Fellow of the Royal Society of Canada
Thesis: Supervised Basis Functions Applied to Functional Regression and Classification
2009–12, M.Sc. in Probability & Statistics, Nankai University , China
Supervisor: Runchu Zhang , Professor
2005–09, B.Sc. in Statistics, Beijing Normal University , China
Advisor: Feng-yu Wang , Professor
RESEARCH
INTERESTS
Functional/longitudinal data analysis
Deep learning/neural networks
Transfer learning
Survival analysis
Survey sampling
Tensor data analysis
Design of experiments
PEER-REVIEWED
Liu, J., Zhou, Z. , Cheng, X., Zhang, D., Li, L., Zhang, X., & Vangeepuram, N. (2024).
Food insecurity trends and disparities according to immigration status in the US households, 2011–2021.
Preventive Medicine 187 :108121.
doi:10.1016/j.ypmed.2024.108121
Liu, J., Zhou, Z. , Cheng, X., & Vangeepuram, N. (2023).
Geographic and sociodemographic variations in prevalence of mental health symptoms among US youths, 2022.
American Journal of Public Health 113 :1116–1119.
doi:10.2105/AJPH.2023.307355
Deng, Y., Liu, L., Jiang, H., Peng, Y., Wei, Y., Zhou, Z. , Zhong, Y., Zhao, Y., Yang, X., Yu, J., Lu, Z., Kho, A., Ning, H., Allen, N. B., Wilkins, J. T., Liu, K., Lloyd-Jones, D. M., & Zhao, L. (2023).
Comparison of state-of-the-art neural network survival models with the pooled cohort equations for cardiovascular disease risk prediction.
BMC Medical Research Methodology 23 :22.
doi:10.1186/s12874-022-01829-w
Zhou, Z. , & Sang, P. (2022). Continuum centroid classifier for functional data.
Canadian Journal of Statistics 50 :200–220.
doi:10.1002/cjs.11624
R
github.com/ZhiyangGeeZhou/CCC
Zhao, Y., Wang, Y., Liu, J., Xia, H., Xu, Z., Hong, Q., Zhou, Z. , & Petzold, L. (2021). Empirical quantitative analysis of COVID-19 forecasting models.
2021 International Conference on Data Mining Workshops (ICDMW) 517–526. (Best Paper Award)
doi:10.1109/ICDMW53433.2021.00069
Zhou, Z. . (2021). Fast implementation of partial least squares for function-on-function regression.
Journal of Multivariate Analysis 185 :104769.
doi:10.1016/j.jmva.2021.104769
R
github.com/ZhiyangGeeZhou/fAPLS
Zhou, Z. . (2019). Functional continuum regression.
Journal of Multivariate Analysis 173 :328–346.
doi:10.1016/j.jmva.2019.03.006
R
github.com/ZhiyangGeeZhou/Functional-continuum-regression
Zhou, Z. , & Zhang, R. (2014). A generalized general minimum lower order confounding criterion for nonregular designs.
Journal of Statistical Planning and Inference 148 :95–100.
doi:10.1016/j.jspi.2013.12.003
R
github.com/ZhiyangGeeZhou/G-GMC
Wang, W., Gong, D., Zhou, Z. , & Guo, Y. (2012). Robustness of the aerosol weekly cycle over Southeastern China.
Atmospheric Environment 61 :409–418.
doi:10.1016/j.atmosenv.2012.07.029
PREPRINTS
INVITED PRESENTATIONS
2024/Dec/16, 18th International Joint Conference on Computational and Financial Econometrics (CFE) and Computational and Methodological Statistics (CMStatistics), CFE-CMStatistics 2024
2024/Jul/18, 7th International Conference on Econometrics and Statistics (EcoSta 2024)
2024/Jul/14, 2nd Joint Conference on Statisitics and Data Science in China
2024/Jun/21, Statistical Learning for Large Scale Data: A conference celebrating the 70th birthday of Richard Lockhart
2024/Jun/09, 6th ICSA-Canada Chapter Symposium
2024/Apr/19, Southeast Wisconsin Data Science (SEAWINDS) Collaborative First Annual Research Symposium
2023/Dec/18, 16th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2023)
2023/Jul/08, 12th ICSA International Conference
2022/Dec/17, 15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022)
2022/Oct/25, Biostatistics and Bioinformatics Round, George & Fay Yee Centre for Healthcare Innovation
2022/Oct/24, Biostatistics Seminar Series, Northwestern University
2022/Jul/10, 5th ICSA-Canada Chapter Symposium
2022/Jun/20, ICSA Applied Statistics Symposium
2022/Jun/07, Machine Learning Special Interest Group Meeting, George & Fay Yee Centre for Healthcare Innovation
2021/Oct/22, NIC-ASA & ICSA Midwest Chapter Joint Fall Meeting
2021/Sep/13, ICSA Applied Statistics Symposium
FUNDING
Principal Investigator,
NSERC Discovery Grants
(with the Discovery Launch Supplement, 2022/Apr/01–2027/Mar/31; terminated early on 2023/Sep/01 due to relocation)
TEACHING
COURSES IN PROGRESS
SUPERVISION FOR
Christopher Sullivan (2024–, M.Sc. student, uwm.edu)
Ian Nadolski (2024–, M.Sc. student, uwm.edu)
Manthan Mehta (2024–, M.Sc. student, uwm.edu)
Kelly Wikoff (2023–24, M.Sc. in Biostatistics, uwm.edu)
Donald Kenneth Cramer (2023–, Ph.D. student, uwm.edu)
Ke Wang (2022–24, M.Sc. in Statistics, umanitoba.ca)
CO-SUPERVISION FOR
Yuting Kang (2023–, M.Sc. student at ctgu.edu.cn,
with Chang-Lin Xiang &
Changyu Guo as senior supervisors)
Omar Hassan (2022–23, B.Sc. in Physics, umanitoba.ca,
with Wouter Deconinck as the senior supervisor;
currently M.Sc. student at uvic.ca)
ADVISORY COMMITTEE MEMBER FOR
Hassan Maleki Golandouz (2023–, Ph.D. student at umanitoba.ca,
supervised by Lisa Lix )
Ying Miao (2023, M.Sc. student at umanitoba.ca,
supervised by Po Yang )
Qiao Tang (2023–, Ph.D. student at umanitoba.ca,
supervised by Po Yang )
SERVICE
EDITORIAL BOARD MEMBER
REVIEWER
Grants:
NSERC Discovery Grants
Journals:
American Journal of Public Health ,
Biometrics ,
Biostatistics & Epidemiology ,
Chemometrics and Intelligent Laboratory Systems ,
Computational Statistics ,
Canadian Journal of Statistics ,
Environmental Modeling & Assessment ,
hLife ,
IISE Transactions ,
Journal of Computational and Graphical Statistics ,
Journal of Medical Internet Research ,
Journal of Multivariate Analysis ,
Knowledge-Based Systems ,
Mathematical Modelling and Analysis ,
Statistics in Medicine ,
Statistics & Probability Letters ,
Technometrics ,
The American Statistician ,
Trials
Conferences:
Conference on Neural Information Processing Systems (NeurIPS) ,
International Conference on Learning Representations (ICLR)
CONFERENCE COMMITTEE MEMBER
Program Committee for the ICSA-Canada Chapter 2024 Symposium
Scientific Committee for the 5th International Congress of Applied Statistics (UYIK-2024)
UNIVERSITY COMMITTEE MEMBER
@manitoba.ca:
Graduate (Stats, 2022–23),
IT (Stats, 2022–23),
Research & Seminar (Stats, 2021–22),
Statistical Consulting (Stats, 2022–23),
Executive Committee (Faculty of Science, 2022–23)
CHAIRING
M.Sc. defence:
Guanhong Xiao (2023/Aug/16, Stats, umanitoba.ca),
Aaron (Xiang) Zheng (2023/Jan/18, Stats, umanitoba.ca),
Keith Uzelmann (2022/Aug/24, Stats, umanitoba.ca),
Nasiba Ahmed (2022/Aug/22, Stats, umanitoba.ca)
Ph.D. defence:
Xiaohua Liu (2023/Jun/29, Stats, umanitoba.ca),
Yungang (Yg) Liang (2022/Dec/23, Math, umanitoba.ca)
ARCHIVE OF TEACHING ACTIVITIES
INSTRUCTION @uwm.edu
PH 716 Applied Survival Analysis
Syllabuses: 24S
Lectures (password-protected): 24S
INSTRUCTION @umanitoba.ca
STAT 3100 Introduction to Statistical Inference
Syllabuses: 22F
Lectures (password-protected): 22F
STAT 3690 Multivariate Analysis
Syllabuses: 22W 23W
Lectures (password-protected): 22W 23W
Assessments (password-protected): 22W
STAT 4100 Statistical Inference
Syllabuses: 22F
Lectures (password-protected): 22F
INSTRUCTION @sfu.ca
TUTORING @sfu.ca
MARKING @sfu.ca