Risk distribution, damages assessment, causation, and liability design
My work in tort law examines how legal systems should allocate accident losses when courts make decisions under uncertainty. I am especially interested in damage assessment for personal injury and wrongful death, causation, statistical evidence, proportional liability, and the design of liability rules that create sound incentives before harm occurs.
Several of my articles ask when courts should rely on individualized information and when they should deliberately ignore it. This question appears in my work on statistical evidence in damages, outcome evidence, and "blind justice" in personal injury compensation. In each setting, the legal system faces a tension between accuracy in the individual case and broader goals such as equality, deterrence, corrective justice, and administrability.
My newer tort projects develop institutional approaches to liability. These include work on strategy-proof liability rules, which examines how to divide the externality among multiple parties so that due care is the dominant strategy for all involved, and substantive aggregation for repeated harms caused by institutions such as hospitals, manufacturers, polluters, employers, and public agencies.
Representative topics include:
- Damages and statistical evidence
- Factual uncertainty and proportional liability
- Outcome evidence and hindsight bias
- Causation and loss allocation
- Comparative fault and strategy-proof liability
- Institutional and repeated harms