Patrick Romanescu is the founder and creator of Genaxis Labs and the GGFI framework. His work sits at the intersection of cardiovascular physiology, medical imaging, and applied computation, with a focus on translating complex biological behavior into clinically interpretable measurements.

Patrick entered Queen’s University at the age of 16, where he pursued interdisciplinary research spanning cardiac physiology, ultrasound imaging, and artificial intelligence. His research has centered on identifying physiological signals that are recognized qualitatively by clinicians but remain unmeasured by conventional metrics.

At 17, he completed an observership in the Department of Cardiac Surgery at the University of Toronto, spending over 200 hours in the operating room. This experience grounded his work in real clinical decision-making and informed his emphasis on interpretability, workflow fit, and translational relevance.

Patrick has been writing software for over 8 years, with experience spanning scientific computing, medical imaging pipelines, and applied machine learning. Genaxis Labs was founded to translate this work into a dedicated software platform engineered to integrate into real clinical workflows while expanding what clinicians can measure.

Genaxis follows a research-first philosophy, prioritizing mechanistic insight, mathematical rigor, and clinical interpretability, with the goal of building tools that extend medical practice.

Genaxis Labs is currently engaging academic collaborators and clinical partners as it advances toward broader validation and deployment.