Curriculum VitaeCurriculum Vitae

MS Candidate, Health Data Science · Dartmouth College

"Life can only be understood backwards; but it must be lived forwards"

— Søren Kierkegaard

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Research Summary

My research centers on computational causal inference for health services, policy, and equity, across two key areas: (1) how health policy and delivery systems shape access to care for low-income and underserved populations, and (2) how automated decision-making in healthcare produces and entrenches disparities. This work builds on graduate research in causal methods for health data, a grant-funded study of algorithmic equity, and a prior career in FDA-regulated biopharmaceutical systems engineering.

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Education

Dartmouth College
Master of Science, Health Data Science
2025 – 2027
Dartmouth ScholarGraduate Research Assistant, Guha Lab
University of Massachusetts Amherst
Bachelor of Science, Chemical Engineering
2015 – 2019
Concentration: Biochemical Engineering
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Research Experience

Dartmouth College, Guha Lab
Graduate Research Assistant, Statistical and Computational Methods for Causal Inference
2025 – Present
ProjectsTranslateWeights (R Package) · WMAP (R Package) · Collegiate Softball Injury Prediction Study
Massachusetts Department of Public Health, Office of Health Care Strategy and Planning
Health Professions Data Series Intern
2026 – Present
ProjectsPhysician Assistant Workforce Data Brief
Dartmouth Ethics Institute, Thomas D. Sayles Research Grant
Grant Recipient & Lead Investigator
2026
ProjectsAlgorithmic Design Choices and Allocation Equity
Health Sciences Case Competition
Team Lead & Statistical Analyst, First Place
2026
ProjectsMRSA in the COVID-19 Era: Trends, Policies, and Public Health Implications in the United States
Dartmouth College, MS in Health Data Science
Independent Research Projects
2026
ProjectsEstimating the Effect of Medicaid Expansion on Insurance Coverage for Low-Income Adults · Allocating Scarce Medicaid Offers: Lottery, Need-Based, and Learned Targeting in the Oregon Health Insurance Experiment
Dog Ownership & Childhood Food Allergy Study, Systematic Review & Meta-Analysis
Lead Statistician, Collaboration with Dr. Nathan Blaseg (Dartmouth Hitchcock Medical Center)
2026 – Present
ProjectsPROSPERO-Registered Protocol
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Publications & Preprints

Guha, S., Xu, M., Reed, C., Priyam, K., & Li, Y.
Accepted, 2026
WMAP: An R Package for Causal Meta-Analysis by Integrating Multiple Observational Studies
The R Journal
Reed, C., & Espinoza, M.
Preprint, 2026
Algorithmic design choices as determinants of health equity: a causal simulation study of healthcare resource allocationdoi.org/10.64898/2026.10.30.26366732
medRxiv
Reed, C., & Guha, S.
In preparation
TranslateWeights: An R Package for Transfer Learning with Adaptive Cohort Weighting to Improve Inference in Small Anchor Populations
Journal of Statistical Software
Reed, C.
In preparation
Allocating Scarce Medicaid Offers: Lottery, Need-Based and Learned Targeting in the Oregon Health Insurance Experiment
Zeppieri, G., Cooper, K., Floor, K., Lamonica, T., Roach, R., Farmer, K., Reed, C., Guha, S., & Pozzi, F.
In preparation
Preseason clinical screening and in-season risk of musculoskeletal injury: Analysis of 260 player-seasons in college softball
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Industry Experience

Datageek Designs LLC
Founder, Systems & Software Engineer
2025 – Present
Bristol Myers Squibb
Senior Engineer (Systems & Software), Enterprise Manufacturing Execution Systems
2023 – 2025
Enhanced Information Solutions
Manufacturing Execution Systems Consultant, Bristol Myers Squibb Partner
2022 – 2023
Moderna
Manufacturing Associate, Lead
2021 – 2022
Oncorus
Associate Scientist, Process Development
2020 – 2021
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Recognition

Thomas D. Sayles Research Grant
Dartmouth Ethics Institute
2026
View Research
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First Place, Health Sciences Case Competition
Dartmouth College
2026
View Research
Dartmouth Scholar
Dartmouth College
2025
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Professional Affiliations

American Statistical Association (ASA)
Member
American Medical Informatics Association (AMIA)
Member
AcademyHealth
Member
Society for Epidemiologic Research (SER)
Member
Statistics Without Borders (SWB)
Volunteer
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Skills

Methods
Causal InferenceDifference-in-DifferencesInterrupted Time SeriesInstrumental VariablesRegression DiscontinuityMatching & IPWCausal MLSurvey-Weighted EstimationSimulation & Benchmarking
Languages
RPythonSQLSASJavaScriptC# / .NETVBScript
Packages & Tools
fixesttidycensustidyverseggplot2NumPypandasmatplotlibR ShinydevtoolsTableauD3.jsNext.jsTailwindPostgreSQLSupabaseGit/GitHub
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Certifications

Python for Data Science Professional Certificate
Anaconda, LinkedIn Learning
2025PDF
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GitHub Activity

Contributions