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Screening & Diagnostics
Engineering the sensing and diagnostic systems that detect disease before symptoms appear — from photonic biosensors and non-invasive biomarkers to clinical-grade screening protocols.
Health AI Research
Open to clinicians, researchers, and technologists ready to contribute through our fellowship program.
01 Research Pipeline
We study the problems that arise at every stage — from the biosensors that screen for disease, to the models that stratify risk, to the systems that deploy at the point of care.
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Engineering the sensing and diagnostic systems that detect disease before symptoms appear — from photonic biosensors and non-invasive biomarkers to clinical-grade screening protocols.
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Translating multimodal clinical, genomic, and behavioral data into individualized risk profiles and treatment strategies that replace static guidelines with precision care.
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Building the infrastructure that moves validated models and diagnostics from the lab into routine clinical practice — interoperable, sustainable, and designed around real clinical behavior.
02 Fellowship Program
A 12-week mentored research sprint. Join a squad, solve a real clinical problem, and finish with a co-authored manuscript — certified training for clinicians, researchers, and technologists.
Each cohort tackles a live question from our research pipeline — screening, risk modeling, or clinical deployment.
A 12-week sprint with structured mentorship, interdisciplinary squads, and rigorous methodology designed for peer review.
Finish with a submission-ready manuscript targeting high-impact journals, with senior investigator co-authors.
Who can apply
Clinicians
Gain the technical literacy to lead AI projects and the publication record to advance your academic career.
Researchers / Students
Secure a high-impact applied project. Build a portfolio that bridges medicine and machine learning.
Technologists
Learn the clinical language and validation rigor required to deploy your skills in real healthcare settings.