Email: preciouskolawole[at]cmail[dot]carleton[dot]ca
Hi, welcome to my website 👋🏽
About Me
I'm Precious Kolawole. I recently graduated with a Bachelor of Computer Science (Honours, AI/ML) from Carleton University through the Shopify Dev Degree program. Shopify sponsored my degree while I interned across frontend, backend, and machine learning engineering teams.
During my degree, I worked as an undergraduate researcher in the Data Science for Interventional Healthcare (DSIH) Lab with Professor Matthew S. Holden. Through the NSERC Black and Indigenous Summer Research Internship, I explored how deep learning segmentation could simplify ultrasound and reduce the burden of clinical annotation. Before that, at the Nesbitt Biology Lab with Professors Andy Adler and Jeff Dawson, I developed methods to improve concussion diagnosis using video eye-tracking and ocular EMG. I'm first author on a benchmarking paper evaluating annotation‑efficient segmentation methods for ultrasound.
After graduating, I joined Shopify full-time on the Sidekick Assistant team, where I evaluate large language models and design human evaluation workflows. I also continue my research at DSIH. Right now, I'm building a tracked spine ultrasound dataset, reconstructing 3D ultrasound volumes, and aligning them with CT scans and 3D‑printed phantom references to test how far we can simplify ultrasound.
I began in Medical Rehabilitation at Obafemi Awolowo University in Nigeria and later pivoted to computer science. That clinical grounding shapes my career aspiration in AI Medicine: to build data‑efficient AI workflows with clinician‑level reasoning and computational efficiency for real‑world care.
Publications
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Annotation Is (Almost) Indispensable: The Limitations of Unpaired Domain Translation and Semi-Supervised Approaches to Ultrasound Simplification
Precious Kolawole, Matthew S. Holden
SPIE Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling (Accepted for Oral Presentation)
[Paper] -
Fairness-Aware Machine Learning for Social Bias Detection in Healthcare Research Datasets
Precious Kolawole
Proceedings of Machine Learning Research (PMLR), Deep Learning Indaba 2025
Poster & Oral Presentation, Deep Learning Indaba 2025, Dakar, Senegal
[Poster] [Paper]
Recent News
- [November 2025] Our paper "Annotation Is (Almost) Indispensable" was upgraded from a poster to an oral presentation.
- [October 2025] "Annotation Is (Almost) Indispensable" was accepted to SPIE Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling. [Paper]
- [September 22, 2025] Got a full-time offer as an Engineer at Shopify on the Sidekick team.
- [August 30, 2025] Completed my undergraduate degree in Computer Science at Carleton University.
- [June 2025] My AI and healthcare research was featured on Carleton University's main website and shared across the university's social media platforms.
- [March 2025] Named to The Peak's 2025 Emerging Leaders—Tech Category, recognizing Canadian leaders under 40 shaping the economy and tech industry.
- [March 2025] Selected for the NSERC Black and Indigenous Summer Research Internship (BISRI) to continue research with Professor Matthew S. Holden.
- [March 2025] My TEDx talk, "How Coding Can Change Your Life—and the World," was published on YouTube.