about
Sadie Lee

I am a research student atMayo Clinic Platform, investigating risks to patient privacy from AI models trained on de-identified medical images. I also study cognitive science and data science at theUniversity of British Columbia, graduating May 2026.

My interests span building, using, and evaluating computational tools for human health. Previously, I’ve worked atBC Children's Hospital Research Institute,UBC Emerging Media Lab, andVoythos.
Selected Work
Voythos Imaging
Summer 2025
At Voythos, an early-stage startup, I built medical image models as part of a pipeline to predict trajectories for patients with complex aortic diseases. I also optimized training, refactored code, wrote unit tests, created 2D and 3D visualizations, and prepared documentation.
MCP_Accelerate Imaging
Summer 2024
As an intern at Mayo Clinic Platform, I primarily developed an end-to-end medical imaging for AI/ML workflow, supporting Accelerate’s expansion to provide image datasets to customers.
BCCHR Time in Range Data
2023-2024

I led time in range data collection and analysis for theT1D REACHOUTstudy at BC Children’s Hospital Research Institute/UBC Faculty of Medicine, and wrote scripts in R to facilitate data analysis.

Research
Design and Implementation of a Mobile App to Deliver Peer Support to Adults with T1D: Operational Feasibility Study
Sadie Lee, Baray Sidhu, Parteek Johal, Ayman Azhar, Jonath Sujan, Matthias Görges, Tricia S. Tang
In Progress
Re-identification Risk of Medical Imaging-Based Deep Learning Models
Sadie Lee
August 2025 • Undergraduate Research Capstone
Formalizing Ethical Design in Prostate Cancer Image Analysis: Preliminary Case Study
Sadie Lee, Adam Resnick, Nasibeh Zanjirani Farahani
October 2024 • IEEE MIT URTC
Topological Data Analysis and Interpretability of 3D-Convolutional Neural Networks
Sadie Lee
February 2024 • AAAI Undergraduate Consortium
Human Computer Interaction for Brain Computer Interfaces with Reinforcement Learning
Sadie Lee
December 2023 • UBC Multifaceted Innovations in Neurotechnology (MINT)
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