Machine learning
Foundation models, agentic reasoning and predictive systems built to be validated, not just demoed.
We work at the intersection of machine learning, biomedicine, and engineering, and we organize our work as a set of independent projects, each built around a specific scientific problem. Within AlfaCenter, two specialized research groups focus on distinct directions.
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Every project starts from a specific scientific or clinical question, not a technology in search of a use.
We build models and systems to hold up under scrutiny and real testing, not just to look good in a demo.
Engineering turns the research into automation systems, devices and software that work in the real world.
Foundation models, agentic reasoning and predictive systems built to be validated, not just demoed.
Oncology, cardiovascular disease, sleep, neurodegeneration and more, grounded in real clinical questions.
Automation systems, robotics and physical AI that turn research into systems that work in practice.
Cardiovascular prediction, sleep physiology, neurodegeneration, ophthalmology, reproductive medicine, drug discovery and digital human twins.
Geospatial intelligence, biogas systems, automation and robotics. Agentic and physical AI that turns research into systems that work.
Projects across the center, from digital twins to physical AI.