Summary
Thibault Dardinier is a postdoctoral researcher based in Zurich with a decade of experience bridging machine learning research and applied systems. He completed a PhD in Computer Science at ETH Zürich and has held research roles at Microsoft Research, SRI International, and as a visiting fellow at the National University of Singapore, focusing on probabilistic modeling and forecasting under uncertainty. His work includes extending Gaussian Processes for multi-step trajectory reasoning and practical sensor-based localization algorithms, with outcomes recognized by a research internship prize and an invention disclosure. Comfortable moving between theoretical development and production-ready implementations, he has applied dynamic programming, optimization, and BLE/UWB systems in industry settings. Trained at École Polytechnique and experienced as an oral examiner and former army officer cadet, he brings disciplined analytical rigor and clear communication to interdisciplinary teams.
10 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at École Polytechnique
Computer Science, Mathematics and Physics, Computer Science, Mathematics and Physics at Lycée du Parc
PhD, Computer Science, PhD, Computer Science at ETH Zürich
French, English, German, Spanish