Hello, and welcome! I’m a postdoctoral research scientist in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania Perelman School of Medicine. My research interests include applications of biomedical informatics in the public and population health fields. I work in the Boland Lab on projects that develop novel data mining methods to extract pregnancy-related information from Electronic Health Records (EHR) and study the relationship between environment and disease. Learn more about my research interests in publications.
I enjoy using R to optimize my research workflow and have noticed it making guest appearances elsewhere in my life. I’m certified as an RStudio Tidyverse Instructor and am passionate about R education for the public good. Keep up with my R tinkering in posts and teaching in talks. Thanks for stopping by!
Tidyverse Instructor Certification, 2020
Certificate in Biomedical Informatics, 2019
University of Pennsylvania
Ph.D. in Biomedical Engineering, 2018
B.S. in Biomedical Engineering, 2012
University of Minnesota
Developing tools to mine Electronic Health Record (EHR) data for population-level analyses with the purpose of understanding female fertility and infertility related conditions.
Designing machine learning methods and algorithms with the goal of contributing software to the biomedical informatics field and making it accessible in open platforms
Characterized the type I collagen matrix produced by osteoblasts in vitro to assess structural, biochemical, mechanical, and biological properties. Assays used include atomic force microscopy, nanoindentation, Fourier transform infrared spectroscopy, and quantitative gene expression analysis.
Investigated the effect of (1) an induced reduction in molecular crosslinking on type I collagen matrix properties and (2) mechanical loading via equibiaxial substrate strain to determine the impact of environmental factors.