Research Bio

Jingshen Wang received a Ph.D. in Statistics (2019) from the University of Michigan, Ann Arbor, and a B.S. in Statistics (2013) from Nankai University. Her research team works on on causal inference, experimental design, precision medicine, and, more recently, on machine learning and artificial intelligence methods for healthcare. Her team develops ML and AI approaches in collaboration with researchers to better understand the heterogeneity of Alzheimer’s disease and to design preventative interventions for HIV prevention and care in Tanzania. She serves on the editorial boards for the Journal of the Royal Statistical Society, Series B (Statistical Methodology), and the Journal of Biopharmaceutical Statistics. 

Research Expertise and Interest

precision medicine, causal inference, adaptive experiment, machine learning and artificial intelligence