AI medical technology • sleep medicine services • clinical operations917-830-6274
About AI NeuroSleep

A sleep-medicine company built for the next generation of medical technology.

AI NeuroSleep brings together decades of sleep-medicine experience with emerging AI engineering and clinical workflow technology.

Founder background

More than three decades in sleep medicine.

The founder of AI NeuroSleep began working in sleep medicine in 1996 and became a registered sleep technologist in 1999. He later earned a Bachelor of Science in Nursing from the University of Mount Saint Vincent.

His professional experience includes serving with Columbia University College of Physicians and Surgeons as Chief Technologist and Laboratory Instructor for its sleep fellowship program.

With more than 30 years of sleep-scoring and laboratory experience, his work has included technical operations, scoring, education, workflow oversight and sleep-program support.

He is currently pursuing graduate studies in artificial intelligence engineering, which directly informs AI NeuroSleep's development as an AI medical technology company focused on sleep medicine.

Modern medical technology office environment
Career timeline
1996Entered sleep medicine.
1999Became a registered sleep technologist.
NursingEarned a BS in Nursing from the University of Mount Saint Vincent.
ColumbiaServed as Chief Technologist and Laboratory Instructor for a sleep fellowship program.
TodayLeads AI NeuroSleep while pursuing graduate studies in AI engineering.
Company identity

AI medical technology with sleep-medicine DNA.

AI NeuroSleep is not a general AI consultancy that happens to work in healthcare. The company is built specifically around sleep medicine, with clinical-domain knowledge shaping the technology strategy from the beginning.

Domain

Sleep medicine first

Technology strategy starts with the realities of scoring, lab operations, HSAT, staffing and quality.

Technology

AI with a defined purpose

Automation and AI are applied where they can reduce friction, improve access to information or support structured review.

Governance

Human accountability

AI-supported workflow does not replace physician interpretation or qualified clinical judgment.