Summary
Pasquale Musella is a Senior Data Scientist with 15 years of experience in big data, machine learning and statistics, and five years focused on deep learning, currently driving digital transformation at Procter & Gamble from Geneva. He has led scientific and engineering teams in both academia and industry, combining delivery-oriented product thinking with a track record of upskilling teams and implementing cutting-edge techniques like reinforcement learning and explainable ML. His academic career includes leadership roles in the CERN CMS experiment and a direct contribution to the Higgs boson discovery, where he pioneered ML techniques for photon detection and real-time trigger systems. Comfortable moving models from R&D to production across finance, retail, airports and insurance, he pairs rigorous physics training (PhD) with practical DevOps and model validation experience. Colleagues describe him as a problem solver who leads by example and extracts high performance from diverse teams.
15 years of coding experience
13 years of employment as a software developer
Master of Science (MSc), Physics, Master of Science (MSc), Physics at Università degli Studi di Milano-Bicocca
Ph.D., Elementary Particle Physics, Ph.D., Elementary Particle Physics at Instituto Superior Técnico
Italian, English, French