Founder & CEO

PRMSE is my third start-up and my second SaaS AI Company. 

We are building PRMSE to address the workload of the radiologist. Our starting point is the voice of the market. This states that radiologists around the world are overburdened and report burn-out.

We are on the mission to build AI SaaS tools aimed at taking workload of their shoulders.

It is extremely exciting to work with a growing team of experts, and to have clinical advisors both in the US and Europe guiding us on our path.

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Chief Scientific Officer

I’m a scientist with extensive R&D experience in AI-driven MedTech and Diagnostics, focused on advancing healthcare and improving patient outcomes. I’ve led global clinical programs, navigated complex regulations, and successfully brought innovative medical technologies to market.

I focus on validating PRMSE:’s disruptive AI tools for early lung cancer detection - a mission inspired by losing my grandfather to late-stage cancer.

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Chief Marketing Officer

I am totally determined about driving forward PRMSE. Finding the Normals brings important workflow improvements to the radiology departments. I am bringing in all the experience from my former positions and the absolute dedication to this important project.

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Lead AI Engineer

With a background in mathematics and a master’s in Data Science and Machine Learning, I specialize in developing AI solutions for medical imaging. My experience includes working with histopathology, MRI and CT imaging, from building cancer detection models to conducting PhD research at Leiden University Medical Center on AI for brachytherapy. As PRMSE’s Lead AI Engineer, I am building generalizable image-abnormality detection tools that will support scalable, high-impact clinical screening. 

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AI Engineer

We are building very exciting AI systems, that serve radiologists worldwide. Very exciting.

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Full-stack developer

As full-stack engineer, I make sure our AI models work seamlessly on any PACS system.

Engineering Doctorate student

As the TU/e Engineering Doctorate candidate, I am deeply involved in AI model building and its scientific underpinning. A great project for all involved.

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Summer Intern

Applying my biomedical engineering skills here at PRMSE during my TU/e internship. An excellent learning opportunity!

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FACR, frmr Vice President and Medical Director, Radnet Inc

A tool that identifies and segregates cases most likely to be normal could add great value. Allowing a streamlined review and a reader's preferred time of workday.

Until today such a tool does not exist.

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Chairman and Head, Thoraxklinik, University of Heidelberg

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Professor of Radiology at the Hospital of the University of Pennsylvania

The premise of finding and ruling out the normals has the potential of reducing our workload significantly. Of course, the PRMSE solutions need to meet all regulatory approvals and require radiologists’ endorsement. Exciting to support the PRMSE team on this journey!