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Monica Salvioli focuses her research on pure mathematics, particularly in applying mathematical models in clinical settings. Her work is centered on evolutionary game theory, especially in modeling cancer therapy. Salvioli has accumulated a diverse academic background with positions including Assistant Professor at Maastricht University in the Department of Advanced Computing Sciences and various postdoctoral research roles at TU Delft and Maastricht University. She completed her PhD with a thesis titled "Game theory improving medical decisions managing biological systems" at Politecnico di Milano in Italy. Salvioli's expertise lies at the intersection of game theory, mathematical biology, and cancer research, aiming to translate complex mathematical frameworks into practical applications in healthcare.
Maastricht University • Maastricht, Netherlands
Teaching and research in the Department of Advanced Computing Sciences.
TU Delft • Delft, Netherlands
Conducted research in the Department of Technology, Policy Management.
Maastricht University • Maastricht, Netherlands
Contributed to projects in the Department of Data Science and Knowledge Engineering.
Università di Trento, Italy • Trento, Italy
Worked on mathematical models in the Department of Mathematics.
The School of Business and Economics (SBE) encompasses departments like Organization, Strategy, Entrepreneurship, Finance, and Economics.