A belonging intervention across 22 colleges
Statistical support on a multi-site randomized controlled trial testing whether a belonging intervention improves STEM outcomes for women and underrepresented students.
Representative projects our team has supported as PI, Co-PI, methodologist, or statistician—across research, healthcare, policy, and evaluation.
Statistical support on a multi-site randomized controlled trial testing whether a belonging intervention improves STEM outcomes for women and underrepresented students.
Designed a simulation-based estimation framework for a statewide legal-needs assessment—projected to save roughly $2M in research costs and thousands of analyst hours.
Built and managed the data infrastructure for a large intervention study, contributing a 7% treatment-effect improvement through predictive modeling and A/B testing.
Automated outcomes reporting for a VA and American Heart Association program spanning 50 VA medical centers and 88,778 veterans.
Co-Principal Investigator on a federal trial helping educators plan, implement, and maintain evidence-based interventions in real classrooms.
View the IES award →Research statistician on a five-year, two-site randomized controlled trial evaluating neurodiversity-affirming professional development for 150 K–2 teachers and their autistic students.
View the IES award →Longitudinal analysis and data management for a national R&D center evaluating how states measure school performance for students with disabilities.
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