Summary
Filippo Bistaffa is a tenured researcher with 12 years of experience specializing in multi-agent systems, constrained optimization, and high-performance parallel computing using GPUs. He develops novel algorithms that tackle large-scale combinatorial problems arising in real-world domains like collective energy purchasing, ridesharing, and collaborative logistics, translating theoretical advances into demonstrable societal benefits. As a former Marie Skłodowska-Curie Fellow and Principal Investigator at IIIA-CSIC, he led projects that combine risk-aware decision modules with recommendation strategies for strategic procurement. His work uniquely blends rigorous algorithm design with practical GPU implementations to accelerate solutions for online, large-scale optimization. Based in Cerdanyola del Vallès, Spain, he holds a PhD in Computer Science and a track record of producing measurable impact—examples include significant reductions in pollution and energy consumption and boosts to productivity through optimized shared-mobility and cooperative-learning policies.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Università degli Studi di Verona
University of Southampton
Bachelor’s degree in Computer Engineering, Summa cum laude, Bachelor’s degree in Computer Engineering, Summa cum laude at Università degli Studi di Pavia
English, Italian, Spanish