Sysu-PHS Summer School

Sysu-PHS Summer SchoolSysu-PHS Summer SchoolSysu-PHS Summer School

Sysu-PHS Summer School

Sysu-PHS Summer SchoolSysu-PHS Summer SchoolSysu-PHS Summer School

 International Summer School on Health Medical Big Data and Intelligent Statistics

July 21st - August 11th, 2025, Shenzhen, China

Introduction

Program

Course abstract

Lecturers

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 etiology 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, Journal of Hepatology, and Blood.

Further details about her recent research can be found in https://liusylab.org/ .

Chongguang Yang

 A specialist  in the epidemiology of infectious diseases at the School of Public Health (Shenzhen), Sun Yat-sen University. Prof. Chongguang Yang received his Ph.D. in pathogen biology from Fudan University in 2013 and subsequently held positions as a postdoctoral associate and associate research scientist in the Department of Epidemiology of Microbial Diseases at the Yale School of Public Health. His research emphasizes multidisciplinary methods in understanding 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. 

Anders Albrechtsen

 Professor at the University of Copenhagen, specializing in statistical models for applied population and medical genetics. Prof. Anders Albrechtsen has 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, he spent two years studying mathematics and over a year working on disease mapping at the Steno Diabetes Center. During his Ph.D. and postdoctoral research, he  spent a couple of years at UC Berkeley in the United States and a few months at deCODE Genetics in Iceland.

His 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. In addition he performs GWAS studies in understudied populations such as the Greenlandic Inuit.

Weizhong Li

 Professor and doctoral supervisor of Sun Yat-sen University School of Medicine, graduated from Sun Yat-sen University (B.S.) and University of Liverpool (Ph.D.). Prof. Weizhong Li is currently the secretary general of the Guangdong Bioinformatics Society, a member of the Chinese Association for Artificial Intelligence, and an editorial board member of the international journal Precision Clinical Medicine. He has published more than 40 SCI papers including Nature Communications, PNAS, Genome Medicine, Nucleic Acids Research, BMC Medicine, Artificial Intelligence in Medicine, etc., with a total of ~10,000 SCI citations and ~35,000 Google Scholar citations. He used to be a senior software engineer at the European Bioinformatics Institute (EMBL-EBI), and was deeply involved in many international collaborative research projects, such as UniProt, ENA, and Ensembl Genomes. In recent years, he has conducted in-depth research on medical artificial intelligence around cutting-edge scientific issues such as immune drug resistance and microenvironment characteristics of lung diseases, establishing a number of knowledge bases, data platforms and AI algorithms for precision medicine. 

Xiangjun Du

Dr. Xiangjun Du received his B.S. degree of Physics from Huazhong University of Science and Technology (HUST) in 2005, and his Ph.D. degree of Bioinformatics from Institute of Biophysics, Chinese Academy of Sciences (IBP, CAS) in 2010. He then joined National Center for Biotechnology Information/National Institutes of Health (NCBI/NIH), University of Michigan and University of Chicago through funding of Howard Hughes Medical Institute (HHMI), to carried out interdisciplinary researches on computational systems biology. He joined the School of Public Health (Shenzhen), Sun Yat-sen University in 2018.

Preparation

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