Jason Kai is a Postdoctoral Fellow and research-focused software engineer with 9 years of experience building scalable, reproducible infrastructure for medical imaging and neuroscience research. He has designed Python processing pipelines, Dockerized toolchains, and cloud orchestration that handled imaging data from thousands of participants and supported collaboration across multiple research groups. His background spans hands-on hardware integration, immersive VR demos, and machine learning‑led analysis that resulted in international presentations and peer‑reviewed publications. Jason pairs a PhD in Medical Biophysics with practical IT and DevOps skills, enabling seamless translation of clinical requirements into reliable, portable software. Based in New York, he excels at making complex research workflows auditable and automatable, often improving onboarding and reproducibility in multi‑team environments. An uncommon strength is his ability to bridge cutting‑edge imaging science with pragmatic engineering—delivering tools that both accelerate discovery and scale to production research settings.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering, Electrical & Biomedical Engineering, Bachelor of Engineering, Electrical & Biomedical Engineering at McMaster University
Doctor of Philosophy (PhD), Medical Biophysics, Doctor of Philosophy (PhD), Medical Biophysics at Western University
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Jason Kai - Postdoctoral Fellow at Child Mind Institute