Summary
Giuseppe Barbalinardo is a data and AI leader with 11 years of cross-disciplinary experience spanning materials science, robotics, software engineering, and product-driven machine learning. Currently VP of Data Science and AI at Tonal in San Francisco, he has built and scaled the company’s data and ML infrastructure, created the largest strength dataset in the space, and launched a multimodal AI Coach using LLMs and generative models. His background in computational chemical physics and high-performance atomistic simulation (kALDo/TensorFlow) informs a rigorous, research-driven approach to production ML, sensor fusion, and edge-to-cloud deployment. Giuseppe combines hands-on engineering and patent-driven innovation in biomechanics and computer vision with team-building and product strategy to deliver measurable engagement and performance gains. He also mentors startups and early-career researchers pro bono, bridging Silicon Valley practice with academic depth. Less obvious: he translates deep theoretical tools from quantum and thermal transport research into practical, large-scale ML systems that accelerate product and scientific discovery.
11 years of coding experience
9 years of employment as a software developer
Researcher, Nanotheory Group - Computational Science, Researcher, Nanotheory Group - Computational Science at University of California, Davis
University of California, San Diego
Master of Science, Theoretical Physics, Master of Science, Theoretical Physics at Università degli Studi di Milano-Bicocca
Master Thesis, Condensed Matter Theory, Master Thesis, Condensed Matter Theory at Uppsala University
English, Italian