Biography
Catherine C. Liu (劉春玲) is an Associate Professor of Statistics and Biostatistics at The Hong Kong Polytechnic University (PolyU). She develops statistical learning models, methods, and theories for high-dimensional data and versatile types of data with complex structures in the contemporary era of data science, with her recent interest in medical image data.
Prior to joining PolyU, Catherine had received Intramural Research Trainee Award and gotten her postdoctoral training at NICHD/NIH, USA. She got her Ph.D. in Statistics at The University of Hong Kong, her M.Phil. in Mathematical Statistics advised by late Prof. Xiru Chen at Wuhan University, and her B.S. in mathematics at Huazhong Normal University.
Catherine has sought the balance between statistical inference and its application in data science. As PI, she has received five GRF/NSFC research grants; as co-I, she has received five HMRF/NSFC research grants, including a COVID-19 research grant (Batch 3) with the amount of HK$ 27+ million.
Research Interests
Methodologies and Theories
Imaging data; Statistical learning; Bayesian Inference;
High-dimensional data: Matrix/Tensor Factor Models; Functional /Longitudinal/Multivariate Data.
Earlier: Missing/Survival Data; Biomarker Studies.
Applications
Biomedical Empirical Study: Ophthalmology; Type-2 Diabetes.
Environmental Statistics: Hydrology; Climate.
Work Experience
Associate Professor of Statistics/Biostatistics (tenured /regular), AMA, PolyU, HKSAR （07/2017-present）
Tenure-Track Assistant Professor of Statistics/Biostatistics, AMA, PolyU, HKSAR（10/2011-06/2017）
Tenure-Track Lecturer of Statistics/Biostatistics, AMA, PolyU, HKSAR（08/2010-10/2011）
Honorary Assistant Professor, Department of Ophthalmology, The University of Hong Kong, HKSAR （11/2013-06/2016）
Education
IRTA Postdoctoral Fellow, University of Health, NIH, USA （10/2008-07/2010）
Ph.D. in Statistics, The University of Hong Kong, HKSAR （11/2008）
M.Phil in Mathematical Statistics, Wuhan University, China （06/2004）
B.S. in Mathematics, Huazhong Normal University, China （06/2000）
Editorship
Co-Editor, Special issue on Biostatistics, Computational Statistics and Data Analysis, 2023 & 2018
Guest-Associate Editor, Special issue on Bayesian inference and AI, Frontiers, 2022
Associate Editor, Computational Statistics and Data Analysis, 2016-present
Associate Editor, Statistics and Its Interface, 2019-present
Society Service
ICSA Youth Best Paper Award Committee, 2022
ICSA President Nomination Committee, 2019-2021
Awards
Travel Award, ENAR 2010 Workshop for Junior Biostatisticians in Health Research
Eunice Kennedy Shriver Intramural Research Training Award, NIH Traineeship （10/2008-10/2010）
Opportunity
Am looking for post-doctoral fellows to work with me on building profound statistical inference for various learning scenarios.
Am seeking for Ph.D. students, who have strong coding ability and are willing to learn profound math that matches the requirement of data science.
If you are interested with, please email me for detail.
Contact
Phone (O): +852 2766 6931
Office: TU830, Yip Kit Chuen Bldg.
Email: macliu@polyu.edu.hk