Summary
Giuseppe Randazzo is a manager and staff engineer who combines 11 years of hands‑on research and leadership experience to apply machine learning, AI, and computational chemistry to drug discovery. He leads teams that build recommendation systems and predictive models to cut experimental costs and boost the success rate of novel therapeutics, translating academic rigor from a Ph.D. in Medicinal and Pharmaceutical Chemistry into product-focused engineering. His background spans postdoctoral roles at Roche and Université de Genève, applied AI work at IDSIA, and leadership positions at Endogena and Chemify, with published ML and cheminformatics tools implemented in Python and C++. A Linux/Unix enthusiast and open-source supporter, he actively shares code on GitHub under gmrandazzo and blends deep domain knowledge in pharmacology with practical software engineering. Notably, he pairs scientific publication experience with startup and project management training, making him effective at taking models from prototype to deployed recommendation systems.
11 years of coding experience
7 years of employment as a software developer
Business Concept, Business Concept at CTI Etrepreneurship Training
Doctor of Philosophy (Ph.D.), Medicinal and Pharmaceutical Chemistry, Doctor of Philosophy (Ph.D.), Medicinal and Pharmaceutical Chemistry at Università degli Studi di Perugia
Machine Learning for Data Science and Analytics, Machine Learning for Data Science and Analytics at edX
Project Managment 1, Project Managment 1 at Ifage: Fondation pour la formation des adultes à Genève
Bachelor of Science in Chemistry, Physical Organic Chemistry, Bachelor of Science in Chemistry, Physical Organic Chemistry at Università di Catania
Italian, English, French