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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
Philly Center City District Sips 2022: An Interactive Map
An interactive map showing restaurants participating in CCD Sips 2022 & a companion R tutorial on webscraping, geocoding, and map-making
Projects
Professional, Polished, Presentable
A three hour intermediate xaringan tutorial created for useR!2021
Publications
Medication-Wide Association Study Using Electronic Health Record Data of Prescription Medication Exposure and Multifetal Pregnancies: Retrospective Study
EHR study describing an MWAS approach to explore connections between prescription medication exposure and the risk of multiple gestation pregnancies
Talks
Exploring Traumatic Brain Injury Mechanisms and Severity Using Electronic Health Records
Flashtalk and poster presenting preliminary results for a study on TBI among female patients at Penn Medicine
Featured categories
R (20) Research (17) Education (15)curious about all intersections of data and society.
