Regular biography
Can Yang is a distinguished researcher at the Hong Kong University of Science and Technology (HKUST), where he holds the position of Professor in the Department of Mathematics. His academic journey began with a BSc in Mathematics from the University of Science and Technology of China (USTC), followed by an MSc and PhD in Mathematics from the University of Cambridge. His research spans a wide range of mathematical and computational disciplines, with a particular focus on statistical genetics, machine learning, and data science. Yang's work has made significant contributions to the fields of genomics, biostatistics, and computational biology, particularly in the areas of genome-wide association studies (GWAS), Mendelian randomization, and single-cell RNA sequencing analysis. He has published extensively in top-tier journals such as *Nature Communications*, *Bioinformatics*, *Statistica Sinica*, and *American Journal of Human Genetics*. His research often bridges theoretical statistics with practical applications in biomedical research, and he is known for developing innovative statistical methods to address complex biological questions. Yang is also actively involved in mentoring students and fostering interdisciplinary collaboration, contributing to the advancement of data science and computational biology in both academia and industry.