Our Team

We are a group of highly motivated and creative people, discovering and innovating together to make precision medicine a reality through the catalytic power of big genomic data, statistical genetics, and artificial intelligence.


Wallace (Minxian) Wang is a principal investigator at Beijing Institute of Genomics, Chinese Academy of Sciences, China National Center for Bioinformation. His lab is interested in understanding the genetic basis for human cardiovascular diseases and reducing the population-level disease burden by developing and applying statistical and artificial intelligence models in genome-wide association studies, genetic risk prediction, and precision medicine. His lab has the ultimate goal of assisting in guiding precise disease prevention, leading to healthier lifestyles, and in the discovery of new therapeutic targets.

Minxian Wallace Wang
Principal Investigator, Group Leader
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Dr. Fei Wang is a Research Assistant Professor in the Wang lab at Beijing Institute of Genomics, Chinese Academy of Sciences (China National Center for Bioinformation). She completed her Ph.D. in animal genetics from Nanjing Agricultural University. She completed her postdoctoral training in the medical school of Université Catholique de Louvain, Belgium. Dr. Fei Wang is skilled in resolving biological questions by conducting omics and cell molecular experiments. She is interested in disease risk prediction by integratively analyzing GWAS data with multi-omics data, aiming to research and reveal the underlying genetic mechanism for disease etiology and precise disease prediction.

Fei Wang
Research Assistant Professor

Xiong Yang is a postdoc in the Wang lab at Beijing Institute of Genomics, Chinese Academy of Sciences, China National Center for Bioinformation. He completed his Ph.D. degree in computational biology from the CAS-MPG Partner Institute for Computational Biology (PICB), Chinese Academy of Sciences. His research interests include statistical learning, deep learning, and its applications to disease risk modeling for the help of early-stage disease prevention and treatment.

Xiong Yang
Postdoc

Rufan Zhang is a postdoc in the Wang lab at Beijing Institute of Genomics, Chinese Academy of Sciences, China National Center for Bioinformation. She completed her Ph.D. degree from Sun Yat-sen University. Her research interests include genomics and population genetics, aiming to identify new therapeutic targets based on genome-wide association studies.

Rufan Zhang
Postdoc

Shupeng Fan is a software engineer in the Wang lab at Beijing Institute of Genomics, Chinese Academy of Sciences (China National Center for Bioinformation). He has been engaged in Web development work for 6 years. Now his work is to develop and maintain relevant research websites in Wang lab.

Shupeng Fan
Software Engineer

Hongqiang Zhao is a data analysis engineer in the Wang lab at Beijing Institute of Genomics. He completed his master degree in applied mathematics from the Belarusian State University, his research interests include statistical, reinforcement learning, Bayesian, etc.

Hongqiang Zhao
Data analysis Engineer

Yunga A is a Ph.D. student in the Wang lab at Beijing Institute of Genomics, Chinese Academy of Sciences. He achieved his master's degree in Bioengineering at the University of the Chinese Academy of Sciences. Yunga is interested in genomics and population genetics, including genome De novo assembly, population genome research based on whole-genome resequencing, etc. He comprehensively uses biology, mathematics, and computer knowledge to mine animal genomes with important scientific research and application value.

Yunga A
PhD Student

Qiuli Chen completed her bachelor's degree in bioinformatics from Hunan Agricultural University. Now she is majoring in genomics at the Beijing Institute of Genomics, Chinese Academy of Sciences. Qiuli's work focuses on population genetics and polygenic risk score, which is devoted to revealing the mechanism of human complex diseases through high throughput omics data and promoting the development of precision medicine. In addition, she is interested in disease risk prediction and machine learning.

Qiuli Chen
Master Student

Jia Li is a master student at the Beijing Institute of Genomics, Chinese Academy of Science. She joined the Wang Lab in September 2021. She graduated in Bioinformatics from Hunan Agricultural University. She is interested in linking the associations between risk variants and phenotypes by analyzing large-scale genetic data to help precise disease prevention and treatment.

Jia Li
Master Student

Xingyu Chen will get his bachelor's degree from Southwest University in 2022. And after that, he will pursue his doctoral degree in the Wang lab at Beijing Institute of Genomics, Chinese Academy of Sciences (China National Center for Bioinformation). He is interested in developing algorithms for polygenetic risk score prediction. Besides, he is trying a new method to trace the metastasis pathway of cancer cells.

Xingyu Chen
PhD Student

Xinyu Zhou is a PhD student in the Wang lab at Beijing Institute of Genomics, Chinese Academy of Sciences. She complete her master's degree in Agricultural Insects and Pest Control from Nanjing Agricultural University in June 2022. Xinyu is interested in population genomics and population genetics. During her master's degree, she has built a complete set of analysis process starting from sequencing data, to variants calling and filtering, go further to various population genetic analysis including PCA, DAPC, descent assignment test, molecular phylogenetic analysis, haplotype co-ancestor matrix mapping, selection pressure test, and genetic differentiation degree quantification, etc. Now she is actively learning the relevant knowledge of computational biology to prepare for future graduate life.

Xinyu Zhou
PhD Student

Yu Yu will graduate from Jilin University in 2022 and complete his bachelor's degree in animal medicine. After that, he will major in computational biology at the Beijing Institute of Genomics, Chinese Academy of Sciences. Now he is actively learning the relevant knowledge of computational biology to lay the foundation for future graduate life.

Yu Yu
Master Student

Shaoqi Wang will graduate from Jilin University in 2022 and complete his bachelor's degree in Food Science and Engineering with an additional major in Computer Science. After that, he will enter the Beijing Institute of Genomics, Chinese Academy of Sciences, majoring in computational biology as a master's student. Now he is actively learning the relevant knowledge of computational biology to prepare for future graduate life.

Shaoqi Wang
Master Student

Yu Kang finished his undergraduate degree in biology science at the Ocean University of China in 2022 and is majoring in computational biology at the Beijing Institute of Genomics, Chinese Academy of Sciences. He is interested in genetic algorithms and their applications in polygenetic risk prediction and many other statistical methods, including machine-learning based methods.

Yu Kang
Master Student

Shengyu Hu finished his undergraduate degree at the Southwest Minzu University in 2022, and he will enter the Beijing Institute of Genomics, Chinese Academy of Sciences, majoring in computational biology as a master's student. Now he is diligently learning the relevant knowledge of computational biology to make a solid foundation for future study.

Shengyu Hu
Master Student

Tingfeng Xu is a master student at the Beijing Institute of Genomics, Chinese Academy of Science. He received B.E. degree in Bioengineering from Chongqing University. He is working on disease prediction model based on Deep Learning and statistic analysis on popluation associated SNPs.

Tingfeng Xu
Master Student