Sadie Lee

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.

On the side, I enjoy designing software and exploring creative code.

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 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

JMIR Diabetes (in-press) • BC Children's Hospital Research Institute, UBC Faculty of Medicine

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

Coursework

Misc. software