Summary
Martin Fixman is a PhD student in Computer Science based in London with 14 years of experience bridging industry-scale machine learning and academic research. He has built and deployed adversarial ML systems at Facebook that detect millions of fake accounts daily, led small engineering teams, and improved user recovery flows using experimentation-driven approaches. Prior roles include backend engineering at Monzo and data science work at Grandata, complemented by internships at Google and Facebook focused on performance tooling and mobile infrastructure. A competitive programmer (IOI and ACM ICPC World Finals) with a strong statistics background, he combines rigorous algorithmic thinking with practical production experience. Now transitioning into doctoral research at Cambridge, he brings a rare mix of hands-on deployment expertise, published-grade curiosity, and a track record of converting attacker signals into automated detection pipelines. An under-the-radar strength is his history of creating visualization and simulation tools early in his career to turn complex system traces into actionable insights.
14 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Cambridge
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at City St George’s, University of London
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at University of Buenos Aires
Technical Bachelor Information and Communication Technology, Technical Bachelor Information and Communication Technology at Escuela Tecnica ORT nº 2
Spanish, English, Italian