Bastien Pietropaoli is a multidisciplinary researcher and software engineer with 13 years of experience applying machine learning, probabilistic modeling and systems engineering to smart buildings, logistics and user profiling. He holds an MEng in nuclear engineering and a PhD in computer science, and has led applied research projects at INRIA, Nimbus, Insight and in industry with Qualcomm, Schneider Electric, IBM and Nestlé partners. Bastien has built production-ready data services (Python, microservices, Django), designed Wi‑Fi and sensor-based occupancy detection using probabilistic belief functions, and developed tools for CAD/QA workflows and data valuation. He combines academic rigor—publishing and writing grant proposals—with hands-on delivery and mentoring, and is known for translating sensor noise into robust context-aware services. An uncommon blend of nuclear engineering training and astrophysics interests informs his analytical approach to complex sensing problems.
13 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Université de Rennes I
Preparatory course for grandes écoles (Mathematics Physics and Engineering), Preparatory course for grandes écoles (Mathematics Physics and Engineering) at Montesquieu High School, Le Mans (France)
Contributions:19 commits, 1 push in 2 years 3 months
adaptedtheoryembedded-systemsembeddedevidence
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Bastien Pietropaoli - Postdoctoral Researcher at Nimbus Research Centre