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Minxian (Wallace) Wang


Zhang J-Y, Wang M, Tian L, et al. UBD modifies APOL1-induced kidney disease risk. Proc Natl Acad Sci USA. 2018;201716113.

Wang M, Huang, X Li, et al. Detecting Recent Positive Selection with High Accuracy and Reliability by Conditional Coalescent Tree. Molecular Biology and Evolution. 2014;31(11):3068–3080.

He Y, Wang M, Huang X, et al. A probabilistic method for testing and estimating selection differences between populations. Genome Res. 2015;25(12):1903–1909.

Minxian (Wallace) Wang

Wallace Wang is a computational biologist in the Medical and Population Genetics Program of the Broad Institute of MIT and Harvard, working under the direction of Sekar Kathiresan. Wang’s work includes analyzing large-scale genetic data for profiling the risk variants and risk genes for human diseases. Based on the genetic risk profiling and some other non-genetic risk factors, he builds statistical models for disease risk prediction that can be used to guide disease prevention and healthier lifestyles, with the goal of assisting in the discovery of therapeutic targets.

Wang joined the Broad Institute in January 2018 upon completion of a postdoctoral research fellowship at Beth Israel Deaconess and Harvard Medical School. He completed his doctoral studies in computational biology and human population genetics at the University of Chinese Academy of Sciences/CAS-MPG Partner Institute for Computational Biology. He also holds a bachelor’s degree in animal studies from Jilin University, Changchun, Jilin, China.

Contact Minxian (Wallace) Wang via email at

February 2019