About Me

Experience

• Present — Jan 2024
  PhD Candidate in Machine Learning — IMOS laboratory, EPFL

  Research in the field of counterfactual machine learning for Prognostics and Health Management (PHM). Focus on modeling, dynamic visual reasoning, and agentic AI.
• Jun 2026 — Feb 2026
  Visiting Researcher — MILA Quebec AI Institute & McGill University

  Researching agentic fault detection, diagnosis, and root cause analysis (RCA) methods for prognostics and health management (PHM) on real-world industrial systems.
• Jan 2024 — Apr 2021
  Mixed Reality System Engineer (L3/L4) — Logitech Europe S.A.

  Develop computer vision and sensor fusion algorithms for 6DoF object tracking in AR/VR applications.
  Design full-stack software solutions and integrate them on Android VR headsets.
  Develop bare-metal and RTOS firmware on low-power MCUs (STM32, Nordic).
  Define manufacturing testing strategies for VR handheld controllers.
  Manage technical collaboration with external partners (Qualcomm, Meta, Sensoryx).
• Apr 2021 — Aug 2020
  Computer Vision Intern — Logitech Europe S.A.

  Conduct my Master thesis on 6DoF object tracking for VR applications.
  Design a computer vision pipeline for embedded systems to track 6DoF VR controllers (in Python & C++).
  Develop a joint camera-IMU calibration algorithm and procedure for VR devices.
• Jul 2020 — Feb 2020
  Research Assistant in Machine Learning — LASA laboratory, EPFL

  Design of ML strategies for accurate repeatable skin puncturing. Focus on Bayesian inference & Gaussian Processes. Matlab for model training and ROS for controlling Kuka robots.
• Feb 2020 — Aug 2018
  Research Assistant in Microfluidics — LMIS4 laboratory, EPFL

  Research focusing on droplet microfluidics for immunotheraphy applications (isolation of T-cells for cancer treatments)." Design of MEMS microfluidics circuits (Autocad) for passive high-throughput droplet sorting and droplet fusion.
• Jan 2021 — Sep 2017
  Teaching Assistant for Undergrads — EPFL

  Teaching Assistant in many Bachelor courses: Design of Experiments, Thermodynamics, Complex Calculus, Linear Algebgra, Calculus 1, Calculus 2, Electrotechnics. Offered private individual 1-on-1 support for students.
• Aug 2019 — Jul 2019
  Consumer Sensory Insight Intern — Nestle R&D Konolfingen

  Analysis of consumer habits for dairy and plant-based yoghurts in EMEA & AP regions. Market study of competitors, and organization of blind sensory trials.
• Aug 2018 — Jul 2018
  R&D Product Development Intern — Nestle R&D Konolfingen

  Elaboration of recipes for infant formula. Creation of products in small batches during pilot plan trials. Preparation of lab tasting studies and statistical analysis.

Publications

• 2026
  Rethinking Object-Centric Representations for Video Dynamics Modeling — arXiv preprint

  Amaury Wei, Ismail Nejjar, Olga Fink
• 2026
  From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in Prognostics and Health management (PHM) — Reliability Engineering and System Safety

  O. Fink, I. Nejjar, V. Sharma, K. F. Niresi, H. Sun, H. Dong, C. Xu, A. Wei, et al.
• 2026
  From Physics to Machine Learning and Back: Part I - Learning with Inductive Biases in Prognostics and Health Management (PHM) — Reliability Engineering and System Safety

  O. Fink, V. Sharma, I. Nejjar, L. Von Krannichfeldt, S. Garmaev, Z. Zhang, A. Wei, et al.
• 2025
  Neural Counterfactual Reasoning for Interacting Systems: Bridging Physics-Informed Learning and Reasoning for PHM — 17th PHM Society Annual Conference

  Amaury Wei, Olga Fink
• 2025
  When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate — arXiv preprint (under review)

  Florent Forest, Amaury Wei, Olga Fink
• 2025
  Integrating Physics and Topology in Neural Networks for Learning Rigid Body Dynamics — Nature Communications

  Amaury Wei, Olga Fink
• 2022
  High Precision, High Throughput Generation of Droplets containing Single Cells — Lab on a Chip

  Jiande Zhou, Amaury Wei, Arnaud Bertsch, Philippe Renaud

Education

• Apr 2021 — Sep 2018
  EPFL Ecole Polytechnique Federale — MSc. in Robotics

  Studying machine learning, deep learning, signal processing, embedded systems, biotechnologies, … Mutliple extracurricular academic experiences working as a research assistant.
• Aug 2018 — Aug 2017
  KTH Royal Institute of Technology — BSc. in Microengineering

  Erasmus Bachelor 3rd year in Stockholm, Sweden 🇸🇪.
  Studying signal and control theory, semiconductor devices, MEMS design and manufacturing, as well as nanotechnologies for bio applications.
• Aug 2018 — Sep 2015
  EPFL Ecole Polytechnique Federale — BSc. in Microengineering

  Studying calculus, physics, material science, electromagnetism, programming, numerical analysis and optimization, …

Personal Projects

Side projects I am (was) involved in and actively contribute(d) to.

• Now — 2023
  Viva AI (iOS & iPadOS application) — Co-Founder

  Mobile application for iOS and iPadOS enabling users to easily chat with OpenAI’s ChatGPT. Designed with user experience as its core focus. Supports Siri intents and Shortcuts. Implemented with SwiftUI. Deployed with AppStore Connect and XCode Cloud.
• 2025 — 2022
  NFScene — Co-Founder

  Website with informative articles bringing blockchain technologies to the general public in simple terms. Also offers technical articles for software engineers and developers to easily get started with Web3 applications.
• 2020 — 2019
  Mappeti — Contributor

  Platform offering access to restaurant menus and table bookings in Switzerland. Developed as a PWA, I worked on the data scrapping, backend (Spring), and frontend (Vue.js 2).
• 2020 — 2019
  Jass.LIVE — Co-Founder

  Online PWA implementation of the traditional swiss card-game Jass. Based on a Vue.js 2 frontend and an Express.js backend.