PhD researcher in Statistics
Causal inference with longitudinal health data, in Professor Dora Y. Zhang’s research group.
I am Liyu Cao, a PhD researcher in Statistics at the University of Hong Kong. I am interested in causal inference, statistical machine learning and the decisions we make from uncertain data.
I began in physics, where a model earns its place by explaining a mechanism and surviving a test. Statistics gave me a sharper language for uncertainty, and finance made the gap between a prediction and a decision impossible to ignore.
At HKU, I work on statistical research involving health-related data. In parallel, I build quantitative tools and study how financial models behave outside a polished benchmark.
Outside research:
The Lab is where small statistical ideas become things you can play with. For research or collaboration, send me an email.
Causal inference with longitudinal health data, in Professor Dora Y. Zhang’s research group.
Quantitative research in industry, alongside the PhD.
Bachelor’s training in physics with a minor in finance; National Scholarship recipient.
Research experience in Li Ma's group: generated samples judged by bioinformatics analyses.
Research experience in Ying Cui's group: a semismooth Newton approach to risk-aware optimization.
Group research in Weiping Zhang's group: forecasts evaluated through an A-share backtest.
Molecular dynamics research in Yao Li's group, presented at a national condensed-matter conference.