Summary
Federico Felizzi is a mathematician-turned-healthcare economist with eight years of cross-disciplinary experience building evidence frameworks and quantitative models for global pharmaceutical decision-making. Currently Global Modeling Lead at MENARINI Group and adjunct instructor at IE University, he blends hands-on data science (R, Python, SAS) with strategic HEOR leadership across oncology, cardiometabolic and ophthalmology portfolios. His background spans statistical R&D, systems-biology modeling and HTA-focused real-world evidence generation, enabling him to translate complex trial and RWE analyses into payer-ready value stories. He has led cross-functional teams to create novel patient-reported outcomes, digital-therapy business models and risk-adjusted NPV frameworks for reimbursement strategy. Trained at ETH Zurich, Cambridge, Stanford and IE, he pairs deep academic rigor with practical commercialization experience and entrepreneurial work scaling a boutique analytics consultancy. Notably, he bridges advanced ML methods and traditional pharmaco-economic modeling to inform payer decisions in highly regulated markets.
8 years of coding experience
13 years of employment as a software developer
MBA, Business, MBA, Business at IE Business School
Maturità, Maturità at Liceo Scientifico Galilei
Laurea, Mathematics, Laurea, Mathematics at Università di Pavia
M.A.St. Mathematical Tripos Part III, Mathematics, M.A.St. Mathematical Tripos Part III, Mathematics at University of Cambridge
CAS, Computer Science, CAS, Computer Science at ETH Zürich
MS, Electrical Engineering, MS, Electrical Engineering at Stanford University
English, Italian, German, French