I am a biomedical engineer and physicist with a background in Engineering Physics and Translational Medicine. My work has focused on applying machine learning to problems in healthcare and the life sciences, from clinical decision support to drug discovery.

What I enjoy most is using computational methods to better understand biological systems and help solve real scientific problems. I’m particularly interested in scientific machine learning, physics-informed AI, and hybrid modelling approaches that combine data with biological and physical knowledge.

Through research and industry experience, I’ve worked with clinicians, researchers, and machine learning scientists on projects involving clinical data, molecular datasets, and large-scale scientific data analysis. I enjoy working across disciplines and translating technical ideas into solutions that are useful in practice.

Research Topic

My research topic is Data-Driven Modeling of Human Biology. I work with ABC Labs and KTH on the project called Artemis. Artemis brings together a broad range of health assessments and data to build a more complete picture of how health develops. Together, they provide a much richer view than any single test can.

Read the welcome post for Argyrios here: Welcoming Argyrios Kerezis to the AICell Lab.