Research direction

AI & Mathematical Oncology

We combine mechanistic mathematical modeling and artificial intelligence to investigate cancer biology and advance molecular diagnostics. Our approaches model tumor evolution and the biological and technical processes underlying diagnostic assays. By integrating experimental, molecular, imaging, and clinical data, we aim to test biological hypotheses, optimize diagnostic strategies, and develop robust predictive models.

Projects

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