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Thanks for stopping by!
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.
Certificate in Biomedical Informatics ∙ University of Pennsylvania ∙ 2019
Ph.D. in Biomedical Engineering ∙ Purdue University ∙ 2018
B.S. in Biomedical Engineering ∙ University of Minnesota ∙ 2012
Lately…
I’ve been enjoying 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 as a way to build power in communities. Keep up with my R tinkering in my blog and teaching in talks.
Tidyverse Instructor Certification ∙ RStudio, PBC ∙ 2020
Meeting People Where They R
WAVE Audit No. 1
First audit using the WebAIM Web Accessibility Evaluation Tool (WAVE).
Projects
TidyTuesdayAltText
An R package with the goal of providing insight into the alternative (alt) text accompanying the data visualizations shared on Twitter as part of the TidyTuesday social project.
Publications
A Bayesian Hierarchical Modeling Framework for Geospatial Analysis of Adverse Pregnancy Outcomes
Study describing a Bayesian hierarchichal modeling framework used to explore which neighborhood-level factors and patient-level features were most informative for preterm birth and stillbirth pregnancy outcomes.
Talks
Revealing Room for Improvement in Accessibility within a Social Media Data Visualization Learning Community
Data visualization accessibility talk to share what we found after scraping alternative (alt) text from data viz shared on Twitter as part of the #TidyTuesday social project.
Featured categories
R (16) Research (11) Education (10)curious about all intersections of data and society.
