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Hi there 👋

I am currently a Junior Software/Hardware Engineer at Algolux, a Montreal-based company focused on robust perception in all conditions for autonomous vehicles or ADAS systems. With degrees in Mechanical Engineering from France (my home country) and Canada plus a huge interest for software and cool tech, I'm working hard to reach a point of cross-functional understanding of products, with the ultimate goal of launching some. Computationally curious, and it’s not up for debate.

Please drop me a line: meet at pierre dot coffee


YouTube videos c/pierrejacquierfr 📹

Some coding stuff ⌨️

... more in my open Side Projects Notion Database!

Medium blog @pierremtb 🖊

A few highlights

Journal Publication 📙

Applying AI tools to Computational Mechanics was at the core of my thesis.

  • Preprint: "Non-Intrusive Reduced-Order Modeling Using Uncertainty-Aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to Flood Modeling", Pierre Jacquier, Azzedine Abdedou, Vincent Delmas, Azzeddine Soulaimani.


  1. easy-fit Public

    Parse your .FIT files easily, directly from JS

    JavaScript 57 35

  2. TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

    Mathematica 117 59

  3. 🚀 More than a simple cross-platform Material Design calculator

    QML 21 6

  4. POD-UQNN Public

    Uncertainty Quantification in the POD-NN framework

    Python 13 10

  5. CastMenu Public

    A macOS Menu Bar applet to control playback on Chromecast-enabled devices


  6. TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks (UQPINNs).

    Python 13 21

293 contributions in the last year

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Mon Wed Fri

Contribution activity

January 2022

Created 2 commits in 1 repository
Created 1 repository
Opened 1 pull request in 1 repository
pierremtb/SwStpGitExample 1 open

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