About Sean Sylvia

Associate Professor of Health Policy and Management at UNC Gillings School, Co-PI of DHEP Lab, and Co-Founder & CEO of CollectiveGood

Professional Overview

I am an Associate Professor in the Department of Health Policy and Management at the UNC Gillings School of Global Public Health, where I lead research at the intersection of technology, economics, and global health. My work bridges rigorous academic research with practical applications through innovative digital health solutions.

As Co-Principal Investigator of the Digital Health Economics and Policy Lab (DHEP Lab), I conduct interdisciplinary research on AI applications in healthcare, telemedicine quality and access, and health policy evaluation. Simultaneously, as Co-Founder and CEO of CollectiveGood, I translate research insights into scalable technology solutions that advance global health equity.

My academic journey began with economics and international studies, was shaped by a Fulbright Fellowship in China, and evolved to focus on how digital health innovations can improve outcomes, particularly in low- and middle-income countries. With 89 peer-reviewed publications, my research has influenced policy discussions at national and international levels.

Education & Training

πŸŽ“ Academic Credentials

PhD in Agricultural and Resource Economics (Development Economics) University of Maryland, 2014 Dissertation: β€œHealth Technology Adoption and Outcomes in Rural China”

MS in Agricultural and Resource Economics University of Maryland, 2012 Concentration: International Development Economics

BA in Economics and International Studies (Magna Cum Laude) University of Alabama, 2006 Phi Beta Kappa, International Studies Honor Society

🌍 International Experience

Fulbright Fellow | China, 2007-2008 Research on healthcare access and quality in rural Chinese communities

Current Positions & Affiliations

πŸ›οΈ Academic Positions

Associate Professor (2020-Present) Department of Health Policy and Management UNC Gillings School of Global Public Health

Co-Principal Investigator (2019-Present) Digital Health Economics and Policy Lab

Faculty Fellow (2018-Present) - Cecil G. Sheps Center for Health Services Research - Carolina Population Center - Frank Porter Graham Child Development Institute

🏒 Leadership Roles

Co-Founder & CEO (2021-Present) CollectiveGood Social enterprise advancing global health equity

Associate Editor (2025-Present) BMJ Global Health

Advisory Positions - WHO Digital Health Technical Advisory Group - NIH Health Services Research Study Section - CMS Innovation Center Advisory Board

Research Areas & Expertise

πŸ”¬ Primary Research Domains

πŸ€– Digital Health & AI

  • Telemedicine quality and access evaluation
  • AI-powered diagnostic tool development
  • Digital health intervention effectiveness
  • Health technology economic evaluation
  • Clinical decision support systems

πŸ›‘οΈ Antimicrobial Resistance

  • Antibiotic prescribing pattern analysis
  • Behavioral economics interventions
  • Stewardship program evaluation
  • Pediatric antimicrobial use studies
  • Policy impact assessment

πŸ‘Ά Early Childhood Development

  • Intervention design and evaluation
  • Child health outcome measurement
  • Parenting program effectiveness
  • Nutritional intervention studies
  • Long-term developmental tracking

πŸ“Š Health Economics & Policy

  • Causal inference methodology
  • Health technology assessment
  • Cost-effectiveness analysis
  • Policy evaluation frameworks
  • Global health economics

Technical Skills & Methodologies

πŸ’» Programming & Analysis

Programming Languages: - Python (Advanced): pandas, scikit-learn, TensorFlow, PyTorch - R (Advanced): tidyverse, causal inference packages, Shiny - SQL (Intermediate): PostgreSQL, MySQL, BigQuery - Julia (Beginner): Statistical computing and modeling

Statistical Methods: - Randomized controlled trials design and analysis - Quasi-experimental methods (IV, RDD, DiD) - Machine learning and predictive modeling - Bayesian statistics and hierarchical modeling - Time series analysis and forecasting - Causal inference with observational data

Tools & Platforms: - Cloud computing: AWS, Google Cloud Platform - Version control: Git/GitHub, collaborative development - Containerization: Docker, Kubernetes - Experiment tracking: Weights & Biases, MLflow - Data visualization: matplotlib, ggplot2, plotly, D3.js

🌐 Language Proficiencies

English Native speaker

Chinese (Mandarin) Professional working proficiency HSK Level 6

Japanese Intermediate proficiency JLPT Level 2

Recognition & Awards

πŸ† Recent Honors

2025 - Research Excellence Award, UNC Gillings School of Global Public Health 2024 - NIH Early Career Investigator Award for Digital Health Research 2023 - AHRQ Outstanding Research Achievement in Health Services 2023 - Digital Health Innovation Award, Healthcare Information and Management Systems Society (HIMSS) 2022 - Rising Star in Health Services Research, AcademyHealth 2022 - Young Investigator Award, International Health Economics Association 2018 - Rising Scholar Best Paper Award, China Health Policy and Management Society 2007 - Fulbright Fellowship, U.S. Student Program to China 2006 - Phi Beta Kappa Honor Society

Global Impact & Collaborations

🀝 International Partnerships

Academic Collaborations

  • Harvard T.H. Chan School - Global health economics
  • Johns Hopkins Bloomberg School - Digital health policy
  • London School of Hygiene & Tropical Medicine - Global health initiatives
  • Indian Institute of Public Health - Early childhood development
  • Peking University School of Public Health - Health technology assessment

Industry & Foundation Partners

  • Technology: Google Health, Microsoft Healthcare, IBM Watson Health
  • Healthcare Systems: Kaiser Permanente, Geisinger, Intermountain Healthcare
  • Foundations: Gates Foundation, Wellcome Trust, Robert Wood Johnson Foundation
  • Pharmaceutical: Pfizer Global Health, Novartis Access, GSK Global Health

πŸ“° Media & Policy Engagement

Media Coverage: Featured in The New York Times, Washington Post, Wall Street Journal, and The Economist for research on digital health policy and AI in healthcare.

Policy Testimony: - Congressional subcommittee hearings on telehealth regulation - WHO advisory panels on digital health guidelines - State legislature testimony on antimicrobial stewardship - CMS advisory committee participation on value-based care

Public Speaking: Regular speaker at international conferences including HIMSS, World Health Assembly, American Public Health Association, and AcademyHealth Annual Research Meeting.

Personal Philosophy & Approach

πŸ’‘ Research Philosophy

I believe that the most impactful health research emerges at the intersection of rigorous scientific methods and practical real-world applications. My approach combines:

  • Evidence-Based Innovation: Using randomized controlled trials and causal inference to evaluate what works
  • Technology for Equity: Ensuring digital health solutions reduce rather than exacerbate health disparities
  • Global Perspective: Designing interventions that are culturally appropriate and locally sustainable
  • Collaborative Science: Building interdisciplinary teams that bridge academia, industry, and practice
  • Policy Translation: Converting research findings into actionable policy recommendations

This philosophy guides both my academic research at UNC and our technology development at CollectiveGood, ensuring that our work creates measurable improvements in health outcomes, particularly for underserved populations.


Contact & Collaboration

I welcome opportunities for collaboration, particularly projects that combine rigorous research methodology with practical applications for improving global health outcomes.

Academic Office: 1101-D McGavran-Greenberg Building University of North Carolina at Chapel Hill Chapel Hill, NC 27599-7411

For Research Collaborations: sean.sylvia@unc.edu For CollectiveGood Inquiries: info@collectivegood.io For Media & Speaking: media@dhep.org

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Last updated: September 2025

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