Personal Profile

Li Miaoxin, a professor introduced under the "Hundred Talents Program" of Sun Yat-sen University, an outstanding scholar of Yixue (Yat-sen University's honorary title), and the director of the Department of Medical Informatics. He obtained his Ph.D. from the Faculty of Medicine, University of Hong Kong in 2009. In 2013, he started to build a research team on "Precision Medicine Genomics" at the Faculty of Medicine, University of Hong Kong. At the end of 2016, he joined the Zhongshan School of Medicine, Sun Yat-sen University full-time. In 2021, he won the Best Young Scholar Award in Hong Kong.

Professor Li Miaoxin's research interests mainly focus on the precise prevention and control of hereditary epidemic diseases. Adopting an interdisciplinary strategy, he is committed to developing efficient theories and original methods for mapping pathogenic genes to crack the genetic code of diseases. He has achieved multiple results highly recognized by international peers in the fields of genetics and bioinformatics, which have been published in authoritative journals such as American Journal of Human Genetics and Genome Biology. His papers have been cited more than 7,000 times in total. His research methods have been incorporated into multiple domestic and international professional tutorials, including the data analysis standards of BGI (BGI Genomics), and some of his achievements have been integrated and implemented in the KGG series of software (e.g., http://pmglab.top/kggseq). His research findings not only enrich and expand the theoretical and technical systems of the interdisciplinary fields of modern genetics and data science but also save a great deal of capital and time investment for many case studies on gene mapping of diseases. People interested in decoding life and dreaming of improving human health through big-data precision medicine research are welcome to join his research group. Professional backgrounds include but are not limited to mathematics, biology, and medicine. The homepage of the research group is: http://pmglab.top/.

Research Directions

• Genomics of Rare Diseases
• Genomics of Common Complex Diseases
• Cancer Genomics
• Pharmacogenomics

Academic Part-time Positions

Reviewer for professional journals in genetics and bioinformatics such as American Journal of Human Genetics, Genome Biology, and Nucleic Acids Research.