Jesse Gronsbell
Assistant Professor of Statistical Sciences
STA261: Only use sta261@utoronto.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.
Methodological Interests. Semi-supervised learning, weakly-supervised learning, measurement error and misclassification, meta-analysis.
Recent Applications. Electronic health records (EHRs), biobanks, mobile health.
News.
Dec 2023
Paper on semi-supervised ROC analysis is out in JAMIA. [paper][R package]
Panel on AI in healthcare at Massey College. [event info]
Seminar at CANSSI STAGE. [event info]
Online course on the analysis of EHR data coming Feb 29 - Mar 2. Hope to see you there! [background][course description]
Nov 2023
Seminar at McGill Biostatistics. [abstract]