Summary
Davide Gerbaudo is a Principal Data Scientist with 15 years of experience applying physics-grade rigor to industrial data problems, currently leading data science initiatives at Caterpillar in Geneva. Trained as a particle physicist (PhD Princeton) and seasoned at CERN and Fermilab, he blends deep expertise in C++/Python, Linux-based development, CI and agile practices with hands-on experience across hardware commissioning, simulation and large-scale data analysis. He excels at turning complex measurement and instrumentation knowledge into robust production models and pipelines, and prefers using the right tool for each task while quickly adopting new technologies. A collaborative mentor and leader, he has a track record of supervising students and building cross-disciplinary teams that bridge research and product engineering. Not immediately obvious: his background in trigger/software commissioning for large experiments gives him rare expertise in low-latency, reliability-focused systems that benefit real-world industrial analytics.
15 years of coding experience
11 years of employment as a software developer
Master's degree Physics of Fundamental Interactions, Master's degree Physics of Fundamental Interactions at Università degli Studi di Torino
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Princeton University
Italian, French, English