Sadie Lee
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I build and evaluate AI/ML systems, with a focus on understanding performance and integration in clinical practice.

Currently, I study cognitive systems and data science atUBC, graduating May 2026, and am a teaching assistant for COGS 401 (Seminar in Cognitive Systems). Upon graduation, I will be joining theComputational Health Informatics Program at Boston Children's Hospital.

Previously, I've worked atMayo Clinic Platform,BC Children's Hospital Research Institute,UBC Emerging Media Lab, andVoythos.

Selected Work
Evaluated risks to patient re-identification from ML models trained on medical images
Mayo Clinic Platform • 2025
Developed an end-to-end AI/ML workflow for medical imaging with a prostate MR use case
Mayo Clinic Platform • 2024
Automated time in range data collection and analysis for a clinical trial
BCCHR • 2023-2024
Publications
T1D REACHOUT–A Mobile App to Deliver Peer-Led Mental Health Support to Adults Living With Type 1 Diabetes: Co-Design and Development Process

Sadie Lee, Baray Sidhu, Parteek Johal, Ayman Azhar, Jonath Sujan, Matthias Görges, Tricia S. Tang

2026 • JMIR Diabetes • BC Children's Hospital Research Institute, UBC Faculty of Medicine
JMIR
Formalizing Ethical Design in Prostate Cancer Image Analysis: Preliminary Case Study

Sadie Lee, Adam Resnick, Nasibeh Zanjirani Farahani

2024 • IEEE MIT URTC • Mayo Clinic Platform
PDFIEEE
Topological Data Analysis and Interpretability of 3D-Convolutional Neural Networks

Sadie Lee

2024 • AAAI Undergraduate Consortium
PDF
Coursework
Patterns of Growth
2025
A Map of Apple Health
2023
Web projects
Voythos website and brand re-design
2025
UBC Ballet website and brand re-design
2024
Forestar web app
2023