Resume
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.