
Patrick Rarivoson
Patrick Rarivoson has an interdisciplinary academic and professional background spanning epistemology, mathematics, and computer science. He holds a PhD in Epistemology and has developed his career at the intersection of research, engineering, and industrial innovation.
He began his career with a teaching position at Sorbonne University, where he taught Greek and epistemology, while also working as a System Engineer at Alstom on embedded automatic speed control systems for trains. During this time, he pursued research in formal specification, focusing on the application of mathematical methods to software specification in order to support automatic consistency proofs. In parallel, his work in epistemology addressed Heidegger and Aristotle, with a particular focus on the economics of science.
His professional experience includes roles in system engineering, business consulting, and software development, with a current focus on Generative AI. He is currently with LightOn, where he is responsible for funded projects throughout both the tendering and execution phases. In this capacity, he also contributes to strengthening the link between R&D and industrial innovation, supporting the transfer of research results into practical technological and industrial applications.
Resources
- ENThe 5th AI Winter School of the Austrian Academy of Sciences (ÖAW) 2026 includes presentations on key AI topics. Christopher Pollin presents ‘Vibe Coding & Promptotyping’ as AI-assisted approaches to software development without extensive programming skills. Patrick Rarivoson discusses ‘Open EuroLLM’, focusing on open European language models and digital sovereignty. Philip Winter introduces ‘Bias in ML’, explaining forms, consequences, and strategies for mitigating bias in machine learning.