Research

Turning medical images and biosignals into quantitative information for cancer diagnostics and patient monitoring.

My research combines physical and physiological models with machine learning. Two complementary domains connect the methods we develop to questions from clinical practice.

Cancer imaging

Quantitative ultrasound and MRI to characterize tissue structure, vascular function, and mechanical properties, combining physical models with machine learning.

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Perioperative monitoring

Models and signal analysis to predict patient deterioration, understand patient–ventilator interactions, and improve hemodynamic measurements.

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Publications, code, and datasets