Jesse Gronsbell
Assistant Professor of Statistical Sciences
Embedded Files
About. I develop and apply statistical inference and learning methods to extract reliable insights from observational health data.
Interests. Semi-supervised learning, prediction-based inference, data integration, critical data studies.
Applications. Electronic health records (EHRs), biobanks, mobile health.
News.
Summer 2025.
Book review accepted at Journal of the American Statistical Association. [paper]
New preprint on computational phenotyping of gender. [preprint]
New preprint on evaluating fairness in semi-supervised settings. [preprint][GitHub]
New fairness evaluation preprint and R package. [preprint][tutorial]
Updated preprint on inference with ML-derived data. [preprint][GitHub]
Paper on fairness in ML for health accepted at Statistics in Medicine. [preprint]
Paper on disparities in severe COVID-19 outcomes out in Schizophrenia Bulletin. [paper]
Page updated
Google Sites
Report abuse