Summary
Andrea Anelli is a Data and Digitalisation Senior Scientist with nine years of experience applying AI and computational methods to materials science and drug development. Based in Basel and currently leading the D2AI cross-functional circle at Roche pCMC, he develops ML methods for synthesis, preformulation, analytical challenges and agentic systems that automate experiment design. His background spans a PhD at EPFL and stints at MIT and Tohoku, combining atomistic modelling, solid-state simulations and computational chemistry accelerated by AI. He also builds web-based visualisations and production-ready frameworks for materials discovery and pharmaceutical characterisation, bringing research code into practical use. Notably, he founded Alchemica at EPFL to advance atomistic ML for drug design, reflecting a knack for translating novel methodologies into cross-disciplinary impact.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BSc), Biomedical/Medical Engineering, Bachelor of Science (BSc), Biomedical/Medical Engineering at Università Campus Bio-Medico di Roma
Doctor of Philosophy - PhD, Materials Science, Doctor of Philosophy - PhD, Materials Science at EPFL (École polytechnique fédérale de Lausanne)
Master of Science - MS, Nanotechnology applied to ICTs, 110/110 cum laude, Master of Science - MS, Nanotechnology applied to ICTs, 110/110 cum laude at Politecnico di Torino
English, Italian