Summary
Simone Fulle is a computational drug discovery leader with nearly a decade of experience building and directing CADD and protein engineering teams across Europe and the US. Currently Head of CADD in Basel after senior leadership roles at Novo Nordisk, she blends structure-based modelling, machine learning, and generative design to advance de novo biologics, peptides, and antibodies. Her background spans academia and industry—from PhD-level molecular bioinformatics to postdoctoral work on antibiotic selectivity—giving her a strong track record in translating mechanistic insight into predictive tools and therapeutic leads. She has driven kinome-wide profiling and de novo design pipelines that prioritize selectivity and synthetic accessibility, and she champions ML/AI integration for PK and biophysical property prediction. Colleagues rely on her to align global teams, R&D strategy, and cutting-edge computational methods to accelerate decision-making in drug projects.
9 years of coding experience
3 years of employment as a software developer
PhD Molecular Bioinformatics, PhD Molecular Bioinformatics at Goethe University Frankfurt