Summary
Stefano Zamuner is a CTO and former academic whose 13-year career bridges theoretical physics, complex systems research, and production AI for privacy-preserving speech processing. At ClearSky (an EPFL spinoff) he leads development of offline, edge-first speech solutions that enable confidential workflows in legal and healthcare settings, translating advanced neural modeling and mathematical rigor into deployable products. His background includes postdoctoral work at EPFL, SISSA and Padova on non-stationary processes and interpretability for categorical data, giving him deep expertise in modeling correlated time series and making ML more transparent. He also brings entrepreneurial and industrial insight from co-owning an R&D-focused pump and motor company, and formal training in project management, which together help him balance research ambition with pragmatic product execution. Outside work he applies his maker mindset to woodworking, electronics and robotics—an uncommon hands-on complement to his theoretical training.
13 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Statistical Physics and Complex Systems, Doctor of Philosophy - PhD, Statistical Physics and Complex Systems at Università degli Studi di Padova
Project Management and Managerial skills, Project Management and Managerial skills at University of Bern
Natural Sciences, Natural Sciences at Scuola Galileiana
Italian, English, French