Paidamoyo Chapfuwa is a postdoctoral research fellow mentored by Prof. Sherri Rose at Stanford Health Policy. She received B.S.E. with distinction, MS, and PhD degrees in electrical and computer engineering from Duke University. Paidamoyo was advised throughout her PhD by Profs. Lawrence Carin and Ricardo Henao.
Paidamoyo's research focuses on developing causal survival analysis methods to enable individualized decision-making from clinical data such as electronic health records and more recently, immunomics. Her work leverages statistical machine (deep) learning advances in causal inference, generative modeling, and Bayesian nonparametrics. Her work has culminated in publications at main machine learning venues such as IEEE, ACM, ACL, and ICML.