WANG LAB

Chaolong Wang, Professor. Chaolong completed his B.S. in Physics at Peking University in China in 2008. He went to graduate school at the University of Michigan, Ann Arbor, where he received his M.A. in Statistics (2011), as well as M.S. and Ph.D. in Bioinformatics (2012). His Ph.D. research focused on human population genetics. From 2012 to 2014, Chaolong was a Research Fellow at Harvard University, where he studied statistical genetics. From 2015-2018, Chaolong was a Principal Investigator at the Genome Institute of Singapore, where his team conducted several sequencing studies on Asian populations. Chaolong joined the faculty of Huazhong University of Science and Technology in August, 2018, and has been the Vice Dean of School of Public Health since April, 2022.
[CV] [Google Scholar] [PubMed] [HUST]

Shanshan Cheng, Associate Professor. Shanshan received her B.S. in Computational Biology from the National University of Singapore (2009) and M.S. and Ph.D. in Bioinformatics from the University of Michigan, Ann Arbor (2014). Her Ph.D. dissertation focused on delineating structural characteristics of viral capsid proteins critical for their functional assembly. She was a Postdoctral Fellow at the Duke-NUS Medical School in Singapore from 2015 to 2018, where she primarily studied the patterns of mRNA alternative splicing in gastric cancer patients. Shanshan joined our lab in August, 2018.

Yi Jiang, Lecturer. Yi received his B.S. in Biotechnology from Hunan University of Science and Technology (2013), M.S. in Genetics from Wenzhou Medical University (2016), and Ph.D. in Genetics from Central South University (2020). He was a visiting student at Vanderbilt University (USA) from 2017 to 2019. His research focuses on QTL mapping and integrative genomics analysis to identify disease risk genes. He joined the lab as a postdoc in August, 2020, and was promoted to a lecturer in September, 2025.

Students: Our lab currently have 13 Ph.D. students, 8 Master's students, and some undergraduate students. We are looking for motivated students to join the lab. In addition to students with a training background in bioinformatics, biostatistics, biology, or medicine, we also welcome students with solid training in quantitative sciences, including computer science, statistics, mathematics, and physics. Please email us if you are interested in joining our lab.