Resume
Data scientist with 5+ years of experience across research and program evaluation. Builds the full analytic stack from databases and pipelines to statistical models, reports, dashboards, and AI applications. Translates big and messy datasets into tools that guide stakeholders and non-technical audiences. Advocates for open-source software and open science.
Full Profile on LinkedInExperience
Interim Evaluator, Research Analyst — University of Wisconsin-Madison School of Medicine and Public Health (2025–Present)
Lead program evaluation and data analytics for the Medical Education Office, translating faculty research questions and the school’s reporting needs into analytic workflows across the curriculum. Build reports, dashboards, and AI applications. Support strategic planning for the Collective for Innovation, Scholarship, and Research in Undergraduate Medical Education.
Data Scientist — University of Pittsburgh School of Pharmacy (2021–2025)
Led data analytics and engineering across substance use treatment and criminal justice projects, translating funder and community-partner needs into workflows spanning clinical, operational, and government data systems. Developed data collection methods, databases, pipelines, reports, and dashboards. Supported funding and effort tracking, resource allocation, and staff training.
Research Specialist — University of Maryland, Michele Gelfand’s Culture Lab (2020–2021)
Published cultural predictors of COVID-19 cases and deaths across 57 countries using multilevel statistical models, conducted randomized experiments testing message framing for wearing masks, and developed a natural language processing Shiny app to compare threatening language across texts.
Education
Master of Arts, Social Psychology — University of Northern Iowa (2018–2020) GPA 3.91
Statistical computing (R), quantitative thesis, research assistant in psychoneuroendocrinology lab
Bachelor of Arts, Psychology — University of Northern Iowa (2014–2018) GPA 3.54
Skills
Research methods: Statistics, multilevel modeling, psychometrics, mixed methods research, machine learning (ML), natural language processing (NLP), large language models (LLM), web scraping, reproducible report design, interactive visualization, dashboard development, geospatial mapping or GIS, web application development, package development
Data collection and reporting: Quarto, Shiny, Plotly, D3, Tableau, MS Power, REDCap, Qualtrics, API endpoints
Languages and infrastructure: R, Python, SQL (MySQL, PostgreSQL, DuckDB), Git, Docker, Podman, Azure, MS Foundry, Posit Connect, Linux, Sentry, WordPress, HTML/CSS/JS, web asset design