Dr. Cai obtained his PhD degree from The Hong Kong University of Science and Technology in 2022. He received his BSc and MPhil in Statistics from Hong Kong Baptist University. His broad area of interest lies in statistical machine learning and data science with applications in genetics and genomics data analysis. He has been working on scalable statistical methods for high dimensional regression problems and integrative analysis of multi-omics data.
- Statistical genetics/genomics
- Scalable Bayesian inference
- Empirical Bayes
- Risk prediction with bio-bank scale data