PhD student and digitalisation architect at Region Västerbotten. My research explores how generative AI can support prevention of cardiovascular disease.
My research explores how generative AI can be used to support the prevention of cardiovascular disease, such as stroke and heart attack. A central part of this work is the development of digital twins, virtual representations of individuals and populations that can be used alongside simulation and prediction techniques to explore different health trajectories and outcomes. By doing so, we aim to identify individuals at risk earlier and provide personalised recommendations that support healthier lifestyles and improved long-term health.
I conduct this research as a PhD student in Biomedical Engineering while working as a Digitalisation Architect within Data & AI at Region Västerbotten. My undergraduate education includes a M.Sc in Engineering Physics, with a profile in computational mathematics.
I am happy to supervise master's students who wish to carry out their thesis project within one of the subprojects connected to my research or professional work. Previous theses I have supervised have covered topics such as AI development, synthetic data, and UX/UI design, but the opportunities extend far beyond these areas. If you are interested, please feel free to contact me with a brief description of your background, skills, and areas of interest, and we can discuss potential project opportunities.