• Planned and led a variety of statistical analyses for a research group at the Pranger Amyotrophic Lateral Sclerosis Clinic, resulting in six publications and two submitted manuscripts.• Contributed to the penalized regression and continuous shrinkage prior literature through two publications, one submitted manuscript, two R packages, and two invited talks.• Obtained a grant from the Telomere Research Network to look at the mediating effect of persistent organic pollutant exposure on self-reported race and leukocyte telomere length.• Supervised a junior PhD student, who was working on penalized regression models with multiply-imputed datasets, leading to one publication.• Collaborated with a research group at the School of Public Health on seven publications at the intersection of endocrine disrupting chemical exposure and birth outcomes.My methodological work mostly focuses on penalized regression methods, continuous shrinkage priors, multi-pollutant modeling, high-dimensional mediation analysis, data integration, and missing data methods. For a complete list of publications visit: https://scholar.google.com/citations?user=CsO6bxgAAAAJ&hl=en&oi=ao

Mined allowed claims data to: (i) understand the financial impact of adherence to diabetes medications and (ii) identify subpopulations that greatly benefit from medication adherence.

• Communicated mathematical concepts, problems, and test-taking strategies to struggling students.• Assisted the Michigan State University Department of Mathematics with grading and proctoring final exams.• Coached new tutors on how to effectively answer students’ questions.

Developed and evaluated predictive logistic models to flag dialysis facilities with poor standardized mortality ratio.

Developed Cox proportional hazards models to investigate whether vitamin D deficiency is a confounder or effect size modifier of the relationship between depressive symptoms and coronary heart disease.