Monica D’Arcy

Monica D’Arcy, MS, PhD is an Instructor at the Center for Pharmacoepidemiology and Treatment Science (PETS) and Core Faculty at the Institute for Health, Health Care Policy, and Aging Research. She holds a BS in Mathematics and Computer Science Engineering from the University of Pennsylvania, MS in Epidemiology from Temple University, and PhD in Cancer and Pharmacoepidemiology from the University of North Carolina. Her postdoctoral training at the National Cancer Institute’s Division of Cancer Epidemiology and Genetics (2022) further strengthened her expertise. Prior to academia, she worked as a software developer and bioinformatics specialist at the Children’s Hospital of Philadelphia and in industry for nearly a decade.

Her research focuses on leveraging diverse datasets like gene expression, Medicare claims, and SEER-Medicare to address cancer etiology, pharmacoepidemiology, and precision medicine. Key themes include understanding cancer risk associated with medications, social determinants of health outcomes, and optimizing data-driven strategies to reduce cancer burdens. Methodologically, she emphasizes innovative use of big data and rigorous comparator selection in epidemiologic studies.

Publications highlight her work on drug safety (e.g., tumor necrosis factor inhibitors, voriconazole), cancer risk in transplant recipients, and bioinformatics tool development (e.g., AnthOligo). Her interdisciplinary approach bridges computational methods with population health research.

No scientific awards are explicitly listed in the provided text. She has advised no named students but has extensive experience mentoring through postdoctoral and clinical collaborations. Her work is supported by grants focused on epidemiologic data integration and translational research.