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Linnea A. ZimmermanView profile

Associate Professor

• Family planning
• Reproductive health
• Maternal mortality
• +7 more

Linnea A. Zimmerman, PhD, MPH is an Associate Professor at the Johns Hopkins Bloomberg School of Public Health, specializing in family planning and women's reproductive health. She leads the PMA Ethiopia project and contributes to the Global Early Adolescent Study, focusing on improving measurement of adolescent empowerment and health interventions. Primary Affiliation: Department of Population, Family and Reproductive Health Key Projects: PMA Ethiopia, Global Early Adolescent Study, Performance Monitoring for Action Education: PhD, Johns Hopkins Bloomberg School of Public Health (2014) MPH, Emory University Rollins School of Public Health (2008) BA, Whitman College (2004) Her research spans reproductive health, maternal mortality, demography, and humanitarian health interventions, with a focus on Ethiopia, Indonesia, and Bangladesh. She utilizes longitudinal data and mobile technology for health monitoring in low-resource settings. Recent publications highlight trends in contraceptive use, adolescent agency, and humanitarian health challenges. Her work emphasizes cross-sectional and longitudinal data frameworks to evaluate maternal and newborn health interventions. Scientific Awards: C. Esther and Paul A. Harper Award (2015) Delta Omega Honor Society (2008) Multiple scholarships for population studies (2011-2013) Zimmerman leads research teams for PMA Ethiopia and contributes to global health initiatives, including menstrual health measurement and postpartum contraceptive access.

Amy B. DaileyView profile

Professor

• Health disparities
• social determinants of health
• community-based participatory research
• +3 more

Amy B. Dailey is a Professor of Health Sciences at Gettysburg College, where she has established herself as a prominent social epidemiologist with expertise in health disparities research. Her academic appointment and teaching responsibilities within the Health Sciences department demonstrate her integral role in the institution's academic structure. Dr. Dailey earned her PhD from Yale University in 2006, complemented by an MPH from Tulane University (1998) and a BS from Alma College (1997). This robust educational foundation supports her interdisciplinary approach to public health research and teaching. Health disparities research across multiple population groups Social determinants of health and their impact on vulnerable communities Community-based participatory research methodologies Food insecurity and nutrition-related health outcomes Mental health and housing as determinants of wellbeing Environmental health factors affecting community health Dr. Dailey's scholarly contributions reveal significant expertise across multiple public health domains. Her recent work on food insecurity in rural settings demonstrates practical application of research to community problems, while her methodological publications on complex survey data analysis provide valuable tools for epidemiological research. The consistent focus on vulnerable populations across her publication history—from cancer screening disparities to pandemic impacts—shows a cohesive research trajectory addressing critical health equity issues. Multiple publications on food insecurity and community health partnerships (2020-2022) Extensive research on health disparities in cancer screening and colonoscopy access Methodological contributions to neighborhood effects analysis using complex survey data Environmental health research on particulate matter and breast cancer outcomes As an educator, Dr. Dailey teaches foundational courses including HS 120 Public Health and HS 328 Health Equity, where she integrates her research expertise with practical public health applications. Her collaborations with librarians on information literacy initiatives demonstrate her commitment to developing students' research capabilities within the public health discipline.

Michael Charles SachsView profile

Associate Professor

• Biostatistics
• Causal Inference
• Survival Analysis
• +3 more

Michael Charles Sachs serves as Associate Professor in the Department of Public Health, Section of Biostatistics at the University of Copenhagen's Faculty of Health and Medical Sciences. He holds a Doctorate in Biostatistics from the University of Washington (awarded August 15, 2011) and maintains an active research program with publications spanning 2022-2025. His primary research focuses on biomarker signatures for treatment selection , computational methods for deriving symbolic bounds on causal effects , and regression modeling of cumulative estimands with censored event history data . His general areas of interest include reproducible research, computational statistics, R programming, Bayesian nonparametric models, and survival analysis. Professor Sachs teaches the advanced course "Programming and Statistical Modeling in R" for PhD students and health researchers, covering programming principles, loops, functions, and efficient data manipulation. His recent publications demonstrate expertise in causal inference methodology, survival analysis techniques, and statistical software implementation, with multiple articles accepted for publication in 2025. His work spans theoretical methodology development and practical applications in medical research, particularly in gastroenterology and celiac disease prediction. His scholarly output shows consistent productivity with multiple first-author publications in high-impact biostatistics journals including Journal of Statistical Software, Journal of Computational and Graphical Statistics, and Biostatistics. He actively organizes academic activities, including a May 2025 workshop on statistical modeling in R.

• Empirical Industrial Organization
• International Trade
• Automobile Industry
• +4 more

Jonas Slaathaug Hansen is a Postdoctoral Researcher (Research Fellow) at the Department of Economics, University of Copenhagen, specializing in Empirical Industrial Organization and International Trade with a focus on automobile industry dynamics and firm-to-firm trade networks. His research investigates market competition, supply chain shock transmission, and secondary market interactions through structural modeling of consumer behavior and firm linkages. Utilizing Danish-Swedish register data, he examines how superstar firm relationships drive productivity spillovers and how dynamic demand models capture nuanced substitution patterns in durable goods markets. Recent publications analyze secondary market effects on automotive market power, comparative performance of discrete choice demand models under tax reforms, and productivity impacts of supplying multinational superstar firms. These studies advance methodologies for merger analysis, policy evaluation, and understanding cross-border knowledge diffusion in global supply chains.