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Expertise Deep Learning, Computer Vision, Physics Informed Machine Learning, Graph Neural Networks Amaury obtained his Master's degree in Robotics from the Federal Institute of Technology in Lausanne (EPFL) in 2021.Before joining IMOS, he worked for multiple years at Logitech Europe S.A. as a Software Engineer in the field of Augmented and Virtual Reality. He researched 6DoF tracking solutions for handheld devices, developed the firmware and designed the testing strategy for the MR Stylus MX Ink.During his Ph.D. studies, he explores the field of Physics Informed Neural Networks and its potential applications in the industry. He focuses particularly on surrogate models for simulation, and counterfactual reasoning. Education Master of Science MSc. in Robotics | Robotics 2018 – 2021 EPFL Bachelor of Science BSc. in Microengineering | Microengineering 2015 – 2018 EPFL Teaching & PhDCIVIL-426 Machine Learning for Predictive Maintenance ApplicationsOpen Student Projects Agentic Root Cause Analysis with Digital TwinsCIVIL-332 Data Science for infrastructure condition monitoring
Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.
Amaury Pierre Jiezhi Wei, Olga Fink