Patrick F. McArdle

Patrick F. McArdle is an Associate Professor in the Department of Epidemiology & Public Health at the University of Maryland School of Medicine, holding primary and secondary appointments in Medicine. His work bridges clinical research and data-intensive epidemiological methods.

His educational background includes:

• B.S. in Mechanical and Aerospace Engineering from Cornell University
• Ph.D. in Epidemiology from the University of Maryland

Dr. McArdle specializes in methodological challenges at the intersection of genetics and epidemiology, with core expertise in:

• Development of web-based analytic tools for genome-wide association studies (GWAS)
• Proper covariate selection and bias analysis in longitudinal studies
• Genetic epidemiology of complex diseases using Amish population cohorts
• Data governance frameworks for sensitive health information

His decade-long research on the Old Order Amish has yielded key insights into genetic determinants of longevity and metabolic conditions.

Analysis of his 2006-2016 publications reveals consistent focus on statistical rigor in genetic epidemiology, with increasing emphasis on causal inference frameworks. His work frequently addresses replication challenges in gene-environment interaction studies and methodological pitfalls in blood pressure and diabetes research, often through large consortia like the Stroke Genetics Network (SiGN).

Dr. McArdle actively collaborates with interdisciplinary teams including the SiGN consortium and maintains practical data science contributions through GitHub repositories for SAS-based data management tools. While no formal advising or grant information appears in source materials, his GitHub profile indicates ongoing engagement with ETL pipeline development for epidemiological applications.