Courses and mentorship in computational biology, bioinformatics, and statistical methods for biomedical data analysis.
Graduate-level course covering algorithms and statistical methods for genomic data analysis.
Introduction to AI and ML concepts with applications in biomedical research.
Fundamental concepts and methods in biostatistics for biomedical research.
Comprehensive introduction to computational methods for next-generation sequencing data analysis using R and Bioconductor packages.
Advanced topics in statistical computing, including numerical methods, optimization, and simulation.
Introduction to methods for analyzing large-scale biomedical data, including microarrays and sequencing data.
Introduction to R programming language for statistical computing and data analysis.
Trained 9 Ph.D. students who have gone on to faculty positions at CUHK-Shenzhen, Duke, MD Anderson, and industry roles.
Mentored postdoctoral fellows who have secured faculty positions at top institutions.
Supervised numerous MS students, many of whom continued to Ph.D. programs at top universities.