Ali Shamsabadi
Senior Privacy Researcher at Brave
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolAli 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 LondonPostgraduate Degree, Electrical engineering, Postgraduate Degree, Electrical engineering at Sharif University of Technology
Github Skills (22)
image-enhancement7
keras7
differential-privacy7
pytorch6
circuit6
computation6
generative-adversarial-network6
colorspace5
public-key-cryptography5
deep-learning5
mpc5
machine-learning5
neural-network4
protocols4
post-quantum-cryptography3
Programming languages (4)
Github contributions (5)
AliShahin/AliShahin.github.io
Oct 2017 - Jan 2023
Contributions:330 commits, 313 pushes, 1 branch in 5 years 3 months
smartcameras/ColorFool
Mar 2020 - Oct 2020
PyTorch implementation of ColorFool: Semantic Adversarial Colorization, CVPR2020
Contributions:11 commits, 9 pushes, 1 branch in 6 months
pytorch
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