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About me
I am currently a Ph.D. student in Statistics at North Carolina State University.
Before joining NCSU, I obtained my Bachelor's and Master's degrees in Applied Statistics from Sun Yat-sen University and Fudan University in China, respectively.
I also have work experience at Xiaohongshu and the University of Hong Kong, where I witnessed the significant impact that statistical knowledge can have in areas such as mobile user understanding and disease tracking.
Interests
I currently have a wide range of research interests, and I am actively exploring the directions where I can fully dedicate my academic career. The followings are some of my interests:
Statistical Machine Learning
Causal Inference
Deep Learning and Representation Learning
Reinforcement learning and Dynamic treatment
Biostatistics
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Publications
An asterisk (*) beside authors' names indicates equal contributions.
An adaptive weight ensemble approach to forecast influenza activity in the context of irregular seasonality.
TK Tsang*, Q. Du*, BJ Cowling, and C. Viboud (2024), Nature Communications, 15, 8625. [github]
Decreased risk of non-influenza respiratory infection after influenza B virus infection in children.
TK Tsang, RQR Du, VJ Fang, et al. (2024), Epidemiology and Infection, 152:e60.
Honors
Outstanding Graduate, FDU, 2022
Excellent Undergraduate Dissertation, SYSU, 2020
Chinese National Endeavor Scholarship, 2018 & 2019
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