Chayce
Reed
Research Statement

I study how policies, systems, and social environments shape health outcomes using computational causal inference and causal machine learning to uncover mechanisms, evaluate interventions, and inform health system design and decision-making.

Selected Research
01
MRSA in the COVID-19 Era
Causal Inference · ★ First Place, HSCC 2026
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Affiliation

MS Candidate · Health Data Science
Dartmouth College

Graduate Research Assistant
Guha Lab

Research Areas
01
Computational Causal Inference & Methods Development
02
Algorithmic Fairness & Accountability in Health Systems
03
Health Policy Evaluation & Decision Making
04
Health Equity & Access