Chayce
Reed
Research Statement

I study how health policies, services, and automated decision-making shape access and outcomes for marginalized populations, using computational causal inference and causal machine learning to evaluate interventions, measure inequities, and inform more equitable health system design.

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