Available · Fall 2026
Owen Kim
Biomedical Engineer · Neuroengineering · Machine Learning
Biomedical Engineering student at the University of Waterloo (GPA 3.9/4.0) exploring the intersection of neuroengineering and machine learning — building diagnostic AI and medical devices that translate biological signals into clinical impact.
Projects
From signal to system
Building at the intersection of neuroengineering, AI, and product
Research
Mapping signals to clinical insight
From EEG decoding to self-supervised learning — building diagnostic tools that bridge biology and computation
Transcranial Focused Ultrasound Neuromodulation & OPM-MEG Neural Monitoring
R&D Engineer
The Hospital for Sick Children
Leading feasibility evaluation of transcranial focused ultrasound (tFUS) neuromodulation combined with OPM-MEG neural monitoring. Coordinating across 3 independent research groups spanning neuroscience and hardware engineering.
Co-authored a $225,000 internal research grant to initiate project development
Reinforcement Learning–Based Active Learning for Semantic Segmentation
Undergraduate Research Assistant
Vision & Image Processing Lab + Critical ML Lab, University of Waterloo
Implementing and benchmarking active learning pipelines to improve annotation efficiency for medical image segmentation. Applied to brain tumor datasets, with a focus on RL-based sampling strategies.
Co-authored manuscript under review at ICML 2026
Parkinson's Disease Diagnosis via Esophageal OCT Segmentation
ML Research Intern
Harvard Medical School — Tearney Lab
Developed a deep learning pipeline for Parkinson's disease diagnosis by segmenting esophageal OCT images. Translated 16+ clinician-defined design requirements into model architecture and training strategy. Validated LT-U-Net achieving 85%+ classification accuracy.
Presented at the Wellman Center for Photomedicine, Massachusetts General Hospital
Experience
Where the work happened
Research labs, startups, and hospitals — building real things in high-stakes environments
The Hospital for Sick Children
R&D Engineer
Jan 2026 – Present
Toronto, ON
Leading a cross-lab initiative evaluating transcranial focused ultrasound neuromodulation and OPM-MEG neural monitoring across neuroscience and hardware teams.
Key outcomes
- Led 9+ researchers/engineers across neuroscience and hardware teams
- Co-authored a $225,000 internal research grant
- ~67% SNR improvement via shielded cabling and signal filtering in MNE-Python
- Prototyped a wearable neuromodulation helmet through 11+ transducer/sensor configurations
Vision & Image Processing Lab + Critical ML Lab
Undergraduate Research Assistant
Aug 2025 – Present
Waterloo, ON
Implementing and evaluating active learning pipelines for annotation efficiency and segmentation performance. Applying methods to brain tumor datasets for medical imaging.
Key outcomes
- Compared annotation efficiency across active learning sampling strategies
- Led medical imaging implementation on brain tumor dataset
- Co-authored manuscript on RL-based active learning under review at ICML 2026
Harvard Medical School — Tearney Lab
Machine Learning Research Intern
May 2025 – Aug 2025
Boston, MA
Developed a deep learning pipeline for Parkinson's disease diagnosis through segmentation of esophageal OCT images. Presented at the Wellman Center for Photomedicine at MGH.
Key outcomes
- Built deep learning pipeline for Parkinson's diagnosis via esophageal OCT
- Translated 16+ clinical design requirements into model architecture decisions
- Achieved 85%+ classification accuracy with LT-U-Net model
- Presented at the Wellman Center for Photomedicine, Massachusetts General Hospital
United Mobility
Co-founder
Mar 2025 – Sep 2025
Waterloo, ON
Led development and deployment of a decentralized e-scooter platform, owning execution across engineering, partnerships, and app product design.
Key outcomes
- Drove cross-functional execution across software and business strategy
- Won People's Choice Award at UW Velocity Future Cities Pitch Competition
Contact
Let's build something
worth remembering.
Actively seeking R&D, product, and engineering roles in neurotech, medical AI, and health tech — available Fall 2026.
Based in Waterloo, ON · Open to remote and hybrid roles