Danilo Guerrera is a Solutions Architect at Roche with 12 years of experience applying High-Performance Computing and performance engineering to real-world pharmaceutical problems. He designs AI-driven Medical Affairs solutions that mine unstructured data to reveal unmet patient needs and inform strategic decisions, and has a track record of taking products from concept through GxP validation to production. His PhD and postdoctoral work in HPC give him a rare ability to bridge advanced computational research and pragmatic, regulatory-aware system delivery. At Roche he progressed from Healthcare Computer Scientist to Data Scientist to Solutions Architect, reflecting deep domain knowledge and delivery ownership. Colleagues rely on him for performance-minded architectures that integrate generative AI into existing ecosystems to deliver measurable business value. Based in Basel, he combines rigorous academic pedigree with hands-on product execution to improve patient outcomes.
12 years of coding experience
4 years of employment as a software developer
Liceo Scientifico "G. Rummo", Benevento, Italy
Master's degree, Computer Science Engineering, 110/110 e lode, Master's degree, Computer Science Engineering, 110/110 e lode at Università degli Studi del Sannio-Benevento
Doctor of Philosophy - PhD, High Performance Computing, magna cum laude, Doctor of Philosophy - PhD, High Performance Computing, magna cum laude at University of Basel
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