⠀Catherine C. Liu

Biography

Catherine C. Liu (劉春玲) is an Associate Professor of Statistics and Biostatistics, and since the 1st July 2024, she has transferred to DSAI, from AMA, 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 Professor Xiru Chen at Wuhan University, and her B.S. in Mathematics at Huazhong Normal University.

Catherine's research has been driven by real-world applications. She is devoting herself to participating in an end-to-end scalable and interpretable data science ecosystem by integrating statistics, ML, multi-omics and health sciences. 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), DSAI (07/2024-Present), AMA (07/2017-06/2024), PolyU, HKSAR
Tenure-Track Assistant Professor of Statistics/Biostatistics, AMA (10/2011-06/2017), PolyU, HKSAR
Tenure-Track Lecturer of Statistics/Biostatistics, AMA (08/2010-10/2011), PolyU, HKSAR
Honorary Assistant Professor, Department of Ophthalmology (11/2013-06/2016), The University of Hong Kong, HKSAR

Education

IRTA Postdoctoral Fellow (10/2008-07/2010), University of Health, NIH, USA
Ph.D. in Statistics (11/2008), the University of Hong Kong, HKSAR
M.Phil in Mathematical Statistics (06/2004), Wuhan University, China
B.S. in Mathematics (06/2000), Huazhong Normal University, China

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 Ph.D. students from the Department of Mathematics, Statistics, Computer Science, Physics, or other Engineering disciplines.

For students from Mathematics, Statistics, or Physics, you need to be familiar with at least:

Real analysis;
Measure Theory；
Functional analysis;
Asymptotic theory.

For students from Computer Science or other Engineering disciplines, you need to be familiar with at least:

C/C++ or Python;
Deep Learning framework: Pytorch/TensorFlow/Keras;
Data structure;
Computer organization and architecture;
Basic knowledge of machine learning and deep learning.

If you are interested in, please email me for detail.

Contact

Phone (O): +852 2766 6931
Office: TU830, Yip Kit Chuen Bldg.
Email: macliu@polyu.edu.hk

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