Amaury Wei
+41 21 693 06 95
EPFL › ENAC › IIC › IMOS
Website: https://IMOS.epfl.ch
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
| Robotics2018 – 2021 EPFL
Bachelor of Science BSc. in Microengineering
| Microengineering2015 – 2018 EPFL
Publications
Integrating Physics and Topology in Neural Networks for Learning Rigid Body Dynamics
NATURE COMMUNICATIONS. 2025. DOI : 10.1038/s41467-025-62250-7.High precision, high throughput generation of droplets containing single cells
Lab On A Chip. 2022. DOI : 10.1039/d2lc00841f.Teaching & PhD
Open Student Projects
- Learning Rigid Objects Dynamics from Video
- Spatiotemporal Forecasting of Repository-Induced Effects Using Graph Neural Networks