Course abstract
Morning section: 9:00 – 12:00
Afternoon section: 14:00 – 17:00
Q & A section: 17:00 – 18:00
Siyang Liu
Prof. Siyang Liu received her M.Sc. and Ph.D. in Bioinformatics from the University of Copenhagen. Before joining Sun Yat-sen University in 2021, she was a Senior Bioinformatics Engineer and Research Scientist at BGI. Her research focuses on developing and applying big data analytics, statistical genetics, and bioinformatics techniques to elucidate disease mechanisms and advance therapeutic discovery. She has led several research projects funded by the National Natural Science Foundation of China (NSFC) and the Danish Innovation Fund (Innovationsfonden). As a (co-)first or corresponding author, her work has been published in prestigious journals such as Cell, Nature, Blood, and Nature Communications.
Further details about her recent research can be found in https://liusylab.org/ .
Chongguang Yang
Chongguang Yang is a professor of epidemiology of infectious diseases at the School of Public Health (Shenzhen), Sun Yat-sen University. He received his Ph.D. in pathogen biology from Fudan University in 2013 and worked as a postdoctoral associate and associate research scientist at the Department of Epidemiology of Microbial Diseases at the Yale School of Public Health. Dr. Yang’s research focuses on multidisciplinary methods in the transmission and control of infectious diseases with an emphasis on Tuberculosis. His recent work focuses on the impact of epidemiological and bacterial heterogeneity on the transmission and evolution of drug-resistant tuberculosis using multiple approaches, including genomic epidemiology, population genetics, spatial analysis, and mathematical modeling, in diverse study populations, including internal migrants and other vulnerable populations in China, as well as in other high-burden countries such as Moldova.
Anders Albrechtsen
Professor at the University of Copenhagen, specializing in statistical models for applied population and medical genetics. I have a highly interdisciplinary background, holding a Ph.D. from the Department of Biostatistics, a master's degree from the Bioinformatics Center, and a bachelor's degree in Molecular Biology. In addition, I spent two years studying mathematics and over a year working on disease mapping at the Steno Diabetes Center. During my Ph.D. and postdoctoral research, I spent a couple of years at UC Berkeley in the United States and a few months at deCODE Genetics in Iceland.
My primary research focus in recent years has been the development of methods for high-throughput sequencing (HTS) data, particularly for low-depth sequencing, as well as large-scale association mapping studies using both microarrays and HTS data.