Summary
Ali Shamsabadi is a Senior Privacy Researcher at Brave with nine years of experience turning rigorous research into privacy-first product strategy and cross-functional leadership. His work focuses on verifiable trustworthiness of AI services, building systems that combine differential privacy, auditable transparency, and low-impact integrations—exemplified by Nebula, a product analytics platform with formal privacy guarantees. He bridges academic depth (PhD work and roles at The Alan Turing Institute, Vector Institute, and Inria) with hands-on product delivery, especially around conversation intelligence and web agents. Ali’s background in encrypted learning and audio anonymisation gives him a practical edge in designing privacy-preserving ML systems that remain useful in black-box settings. Based in London, he is known for translating hard theoretical questions about incentives and trust into deployable, science-driven solutions.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Queen Mary University of London
Postgraduate Degree, Electrical engineering, Postgraduate Degree, Electrical engineering at Sharif University of Technology