Simon Deltadahl

Department of Applied Mathematics and Theoretical Physics

Simon Deltadahl's research introduces CytoDiffusion, an innovative artificial intelligence system for blood cell analysis that outperforms existing methods in detecting abnormal cells and adapting to different laboratory conditions. Unlike current approaches, the system can explain its decisions and reliably flag uncertain cases— capabilities crucial for clinical deployment. Through comprehensive testing with haematology experts, the system demonstrated superior uncertainty assessment capabilities beyond human expert levels, achieving unprecedented accuracy in disease detection. This breakthrough offers the potential to transform blood disorder diagnostics by enabling faster, more reliable, and more accessible automated analysis worldwide. Simon developed the CytoDiffusion architecture, designed the evaluation framework, and implemented all computational analyses. He orchestrated the clinical validation studies and, while collaborating with clinicians for dataset creation, led all technical aspects from system development through to results analysis and interpretation.