Rahul Ladhania, PhD
- Assistant Professor, Health Informatics
- Assistant Professor, Health Management and Policy
- Assistant Professor, Biostatistics
Dr. Rahul Ladhania received his B.Tech from the Indian Institute of Technology Madras, and his PhD from Carnegie Mellon University. Before Michigan, he was a post-doctoral researcher with the Behavior Change For Good Initiative (BCFG) at The Wharton School of the University of Pennsylvania. Currently affiliated as a visiting scholar with BCFG, Rahul co-leads the BCFG machine learning team. He is also an affiliate faculty with the Center for Health Incentives and Behavioral Economics (CHIBE) at Penn.
- PhD, Public Policy and Management, Carnegie Mellon University
- MPhil, Public Policy and Management, Carnegie Mellon University
- BTech, Metallurgical and Materials Engineering, 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.
R. Ladhania, J. Spiess, K. Milkman, S. Mullainathan, L. Ungar, Personalizing Treatments For Habit Formation: Learning Optimal Treatment Rules From a Multi-Arm Experiment, Ongoing Work
R. Ladhania, A. M. Haviland, N. Sood, E. H. Kennedy, A. Mehrotra, Proposing and Testing Sub-groups with Heterogeneous Treatment Effects: A Sequence of Two Studies, Ongoing Work
R. Ladhania, A.M. Haviland, A. Venkat, R. Telang, J. M. Pines. The effect of Medicaid expansion on the nature of new enrollees' emergency department use, Medical Care Research and Review. 2019 May 27:1077558719848270.
J. M. Pines, R. Ladhania, B.S. Black, C. K. Corbit, J. N. Carlson, A. Venkat. Changes in reimbursement to emergency physicians after Medicaid expansion under the Patient Protection and Affordable Care Act, Annals of emergency medicine. 2019 Mar 1;73(3):213-24.
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Areas of Expertise: Clinical Trials