David Fontaneda-Arenas

The paper identifies conserved cell states in ovarian high-grade serous carcinoma that correlate with poor prognosis and presents actionable targets for improving platinum response.

The paper uses single-cell RNA sequencing to identify resistance signatures in ovarian cancer and develops a framework for combination therapy with carboplatin.

This paper develops a spatially explicit agent-based model to simulate tumor growth and adaptive therapy, showing that mutation order restrictions affect genotype predictions and therapy outcomes.