Jesse Gronsbell
Assistant Professor of Statistical Sciences
j.gronsbell [at] utoronto [dot] ca
Cross appointed in Computer Science and Family & Community Medicine
About. I develop statistical inference and learning methods to extract reliable insights from observational health data.
Interests. Semi-supervised and weakly supervised learning, measurement error and missing data, meta-analysis.
Applications. Electronic health records (EHRs), biobanks, mobile health.
News.
June 2024
Awarded a Data Science Institute grant for our project critically analyzing sexual orientation and gender identity phenotypes from EHRs.
New preprint on fairness in ML in healthcare. [paper][R package]
Paper on GWAS with machine learning (ML) derived phenotypes out in Nature Genetics. [paper][R package]
Updated preprint on meta-analysis with small, sparse data. [paper][R package]