Research Interests
Research Interests
Methodological Interests
Interpretable and fair machine learning
Bilevel optimization
Multicriteria optimization
Application Interests
Healthcare Systems
Maternal health, Epidemiology, Access to care
Social Care Systems
Foster Care, Human Trafficking, Forced Labor
Research Projects
Journal Articles
“The implications of using maternity care deserts to measure progress in access to obstetric care: A mixed-integer optimization analysis” BMC Health Services (2024). https://doi.org/10.1186/s12913-024-11135-4
Meghan E. Meredith, Lauren N. Steimle, Stephanie M. Radke.
“Racial and Ethnic Differences in Maternal Pre-Pregnancy Conditions and Adverse Maternal Outcomes in the nuMoM2b Cohort” PLoS ONE (2024). https://doi.org/10.1371/journal.pone.0306206
Meghan E. Meredith, Lauren N. Steimle, Kathryn K. Stanhope, Marissa H. Platner, Sheree L. Boulet.
Research Reports
“Forced Labor in Global Supply Chains: Trade Enforcement Impacts and Opportunities” Santa Monica, CA: RAND Corporation (2025). https://doi.org/10.7249/RRA2534-1
Victoria A. Greenfield, Tobias Sytsma, Amanda Kerrigan, Maya Buenaventura, Karishma V. Patel, Max Steiner, Meghan E. Meredith, Andrew Scruggs, Lily Hoak, Kate Giglio, Daniel Hicks, and Jonathan W. Welburn.
“Combating Forced Labor in Global Supply Chains: Is U.S. Trade Enforcement Making a Difference, and Can It Do More?” Homeland Security Operational Analysis Center operated by the RAND Corporation (2025). https://doi.org/10.7249/RRA2534-2
Victoria A. Greenfield, Tobias Sytsma, Amanda Kerrigan, Maya Buenaventura, Karishma V. Patel, Max Steiner, Meghan E. Meredith, Andrew Scruggs, Lily Hoak, Kate Giglio, Daniel Hicks, and Jonathan W. Welburn.
Conference Presentations
“Identifying Regions that Are Vulnerable to Obstetric Unit Closures in Georgia Using Mathematical Optimization” Co-authors: Meghan E. Meredith, Lauren N. Steimle
Southeast Regional Clinical Translational Science Conference, Pine Mountain, Georgia, March 2025. Outstanding Oral Presentation Award Winner
“Preventing Rural Obstetric Hospital Closures: A Multi-Level Optimization Approach”
Co-authors: Meghan E. Meredith, Lauren N. Steimle.
INFORMS Annual Meeting, Seattle, WA, October 2024, Session Co-Chair.
“Exploring the Trade-Off Between Access and Volume in Obstetric Care: A Bilevel Optimization Framework” Co-authors: Meghan E. Meredith, Lauren N. Steimle.
INFORMS Manufacturing and Service Operations Management Conference, Minneapolis, MN, July 2024.
“Multi-Criteria Optimization to Balance Quality and Access for Risk-Appropriate Maternity Care” Co-authors: Meghan E. Meredith, Lauren N. Steimle, Stephanie M. Radke.
INFORMS Annual Meeting, Phoenix, AZ, October 2023, Session Co-Chair.
“Machine Learning to Estimate Risk of Adverse Maternal Outcomes in a Cohort of Nulliparous Women” Co-authors: Lauren N. Steimle, Meghan E. Meredith.
INFORMS Annual Meeting, Indianapolis, IN, October 2022. Presented by Lauren N. Steimle.
“The Effectiveness of Remote and Hybrid Instruction as an Intervention for Covid-19 in University Settings” Co-authors: Lauren N. Steimle, Jingyu Li, Meghan Meredith, Dima Nazzal.
INFORMS Annual Meeting, Anaheim, CA, October 2021. Presented by Lauren N. Steimle.
Conference Posters
“Data Science Models for the Prediction of Adverse Maternal Outcomes”
Co-authors: Meghan E. Meredith, Lauren N. Steimle, Kathryn K. Stanhope, Marissa H. Platner, Sheree L. Boulet. INFORMS Annual Meeting, Indianapolis, IN, October 2022. Minority Issues Forum Student Poster Competition (Winner).
“Evaluation of Two-Year Addiction Recovery Policing Initiative”
Co-authors: Veronica White, Meghan Meredith, Laura Albert. INFORMS Annual Meeting, Seattle, WA, October 2019. MIF Student Poster Competition.