Certificates / Awards
Bias in AI (2022)
Vector Institute for Artificial Intelligence
Vector Institute for Artificial Intelligence
• Investigated bias in pre-trained language and
image datasets due to bias in train sets
• Developed awareness of disadvantaged groups
impacted by biased AI models
• Studied techniques to mitigate bias in computer
vision, including data augmentation and cost
function constraint terms
• Completed capstone project on identifying and
mitigating bias in healthcare data. Presented
findings to Vector Institute and IRAP staff
Dean's List (2019-2020)
University of Toronto
University of Toronto
• Awarded for a sessional GPA of at least 3.5
• Achieved in Fall 2019, Winter 2020