Rahul Ladhania
Assistant Professor of Health Informatics
Health Management and Policy
Public Health
PhD, Carnegie Mellon University
MPhil, Carnegie Mellon University
BTech, Indian Institute of Technology Madras
Dr. Ladhania’s research is in the area of causal inference and machine learning in public and behavioral health. A large part of his work focuses on adapting and extending machine learning methods for learning optimal treatment rules and estimating heterogeneous treatment effects in in complex policy/behavioral health settings.
Projects:
Personalizing Treatments For Habit Formation: Learning Optimal Treatment Rules From a Multi-Arm Experiment - Ongoing Work
University Affiliation(s)
University of Michigan
Community and Professional Affiliation(s)
American Economic Association | American Society of Health Economists | American Statistical Association | Behavior Change For Good (BCFG) | Center for Health Incentives and Behavioral Economics (CHIBE) | Society for Professional & Social Psychology
Research Area(s)
Artificial Intelligence | Behavioral medicine | Data science / Analytics / AI | Public policy and social science | Targeted therapies
Publications
- The Effect of Medicaid Expansion on the Nature of New Enrollees’ Emergency Department Use
- Changes in Reimbursement to Emergency Physicians After Medicaid Expansion Under the Patient Protection and Affordable Care Act
- Learning and Testing Sub-groups with Heterogeneous Treatment Effects:A Sequence of Two Studies
Grants
- Consultant on: The cost of illness: The impact of COVID-19 on patient financial outcomes
- Co-investigator of: SAFER-Optimal: Scalable Federated Learning of Optimal Treatment Strategies in Sepsis-Associated Acute Kidney Injury
- Principal investigator of: DVx - SCHOOL: Digital Vaccine for Scalable Curricular Health Outcome Optimization and Learning