Causal learning for longitudinal health data
Developing statistical and machine learning methods to investigate causal effects and disease pathways, including those of type 2 diabetes, using longitudinal health checkup and claims data.
School of International Liberal Studies, Waseda University
Jinfang Wang
Professor, School of International Liberal Studies, Waseda University
Statistics, data science, machine learning, and AI for research, education, and real-world decision making.
Research
Current Research Themes
Decision learning for individualized action
Combining Bayesian inference, machine learning, and constrained optimization to learn personalized, feasible strategies and health trajectories for disease prevention and health improvement.
Predictive and decision phenotype learning
Developing explainable machine learning methods to identify interpretable groups defined by shared predictive mechanisms or feasible, near-optimal strategies.