about
Sadie Lee

I build and evaluate AI/ML models, particularly for human health, and examine how these systems are used in practice. I also create data visualizations and design interfaces to explore complex systems.

I currently study cognitive science and data science at theUniversity of British Columbia, graduating May 2026. Previously, I've worked atMayo Clinic Platform,BC Children's Hospital Research Institute,UBC Emerging Media Lab, andVoythos.

View myresume.

Selected Work
Multi-task image model
Custom Swin UNETR to segment the aorta and detect thrombosis
Voythos • 2025
AI/ML image workflow
Models to develop a workflow for medical imaging data
Mayo Clinic Platform • 2024
Time in range data
Automation of data collection and analysis for T1D REACHOUT
BCCHR • 2023-2024
Research
T1D REACHOUT - a mobile app to deliver peer support to adults living with type 1 diabetes: The co-design and development process

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

In Progress • BC Children's Hospital Research Institute, UBC Faculty of Medicine
Re-identification Risk of Medical Imaging-Based Deep Learning Models

Sadie Lee, Adam Resnick, Rob Blundo

Undergraduate Thesis 2025 • Mayo Clinic Platform
Formalizing Ethical Design in Prostate Cancer Image Analysis: Preliminary Case Study

Sadie Lee, Adam Resnick, Nasibeh Zanjirani Farahani

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

Sadie Lee

AAAI Undergraduate Consortium 2024
Projects