Summary
Paul Streli is a research scientist based in Zürich with eight years of experience at the intersection of machine learning research and systems engineering. He completed a top-ranked MEng at Imperial College and is pursuing a PhD in Computer Science at ETH Zürich, where he spent five years as a research assistant focused on sensing, interaction, and perception. Paul has bridged academia and industry through internships and collaborations at Meta, TikTok, and TTTech, working on topics from music-composition ML systems to embedded software for automated driving. Now a Research Scientist at Meta, he brings both deep experimental research skills and practical product-facing experience. Colleagues describe him as someone who readily translates complex research into deployable system prototypes — a subtle but recurring strength across his roles. His personal site (paulstreli.com) signals a habit of documenting work and making research accessible beyond papers.
8 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng, Electrical and Electronic Engineering (EEE) with Management, First-Class Honours (85.75%) | Top student of the final class list, Master of Engineering - MEng, Electrical and Electronic Engineering (EEE) with Management, First-Class Honours (85.75%) | Top student of the final class list at Imperial College London
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at ETH Zürich
German, English