Data Science Institute

Erlyn Rachelle Macarayan, PhD MS RN is an adjunct Assistant Professor of Health Services, Policy, and Practice at Brown University School of Public Health. She has worked extensively in the public health and the health data science fields with many years of experience as an advisor and consultant to various international organizations, including industries. She is an esteemed public health researcher who leads multi-collaborative, multi-sectoral, and global research projects funded by the Bill and Melinda Gates Foundation and the World Health Organization, among others. 

Prior to joining Brown, she has worked as Advisor in Data Science at CVS Health Corporation and was a research scientist at The Harvard University School of Public Health, where she also did her postdoctoral research. She holds a masters and PhD in public health and is a trained cardiovascular and renal nurse. 

How does your research, teaching, or other work relate to data or computational science?

My research has consistently leveraged data science methodologies to address critical public health issues. As Vice President for Research and Data Science at Patients Like Me, LLC, I led a team in developing and executing data-driven strategies to enhance patient outcomes. Our work involved creating predictive models, analyzing large-scale health datasets, and implementing machine learning techniques to identify trends and optimize healthcare delivery. 

At Brown University School of Public Health, where I served as an Adjunct Assistant Professor, my research focused on digital health systems and healthcare quality assessment. As a Research Scientist at the Harvard Global Health Institute involved providing technical advice on WHO initiatives and conducting research that relied heavily on data science techniques.