Presentations
Evaluating performance and fairness of of ML models with semi-supervised inference
Talk at the Center for Addiction and Mental Health, Toronto, March 2024. [Slides]
Infairness: Reliably auditing fairness with semi-supervised inference
Poster at the Vector Institute's Research Symposium, Toronto, Jan 2024. [Poster]
Talk at the journal club hosted by Dr. Tatti at the KITE Research Institute, Toronto, Oct 2023. [Slides]
Leveraging a machine learning derived surrogate phenotype to improve power for genome-wide association studies of partially missing phenotypes in population biobanks
Talk at StatGen Seminar at Univeristy of Toronto, Toronto, Dec 2023.
Electronic health records phenotyping.
Co-lead the workshop on biostatistics at SSC annual meeting, online, June 2022. [Slides + Code]
Current methods integrating variant functional annotation scores have limited capacity to improve the power of genome-wide association studies.
Poster at both ASHG and IGES, online, Oct 2021.
Talk at StatGen Seminar at Univeristy of Toronto, Toronto, Oct 2021. [Slides]
Longitudinal Patterns of Distress in Cancer Patients.
Talk at Canadian Student Statistical Conference in May, 2020. [Slides]
Poster at our Biostatistics student research day. [Poster]
Healthcare Data Science Reading Group Presentations
Advances in Electronic Phenotyping: From Rule-Based Definitions to Machine Learning Models (Banda et al. 2018). [Slides]
Automated feature selection of predictors in electornic medical records data (Gronsbell et al. 2019). [Slides]
Corrected ROC analysis for misclassified binary outcomes (Zawistowski et al. 2017). [Slides]