Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
1. Book review accepted at Journal of the American Statistical Association.
2. New preprint on computational phenotyping of gender.
3. New preprint on evaluating fairness in semi-supervised settings.
4. New fairness evaluation preprint and R package.
5. Updated preprint on inference with ML-derived data.
6. Paper on fairness in ML for health accepted at Statistics in Medicine.
7. Paper on disparities in severe COVID-19 outcomes out in Schizophrenia Bulletin.
Research Experience
Assistant Professor of Statistical Sciences at the University of Toronto
Background
Interests include semi-supervised learning, prediction-based inference, data integration, and critical data studies. Applications span electronic health records (EHRs), biobanks, and mobile health.