Summary
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Rockstar🎓
Top SchoolLucas Maystre is a research-focused software engineer with 16 years of experience applying probabilistic modeling, reinforcement learning, and machine learning to real-world personalization and analytics problems. He holds a PhD in Computer Science from EPFL and has worked in research and engineering roles at Spotify, UiPath, and now Reflection AI, bridging academic rigor with product-focused delivery. At Spotify he contributed to personalization systems, and at UiPath he operated at a senior research level driving applied AI initiatives. Early internships at Microsoft, Facebook and Google gave him hands-on experience shipping production features and working in cross-functional teams. Based in England, he blends deep theoretical background with practical systems development, often working at the intersection of research and engineering. Colleagues describe him as someone who converts complex probabilistic ideas into scalable recommender and analytics solutions.
16 years of coding experience
7 years of employment as a software developer
Electrical Engineering and Computer Science, Electrical Engineering and Computer Science at University of California, Berkeley
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at EPFL