Eric Charton
Chief Science Officer (CSO) - IA at Luqia Montreal
Montreal, Quebec, Canada
Summary
🤩
Rockstar🎓
Top SchoolEric Charton is a senior AI and computer science leader with over 15 years of experience translating NLP, machine learning, and information retrieval research into commercial products and measurable ROI across banking and media. Currently CSO at Luqia Montréal, he builds large-scale AI and quantum-applied research programs while advising boards and steering regulatory and partnership strategy. He has a strong track record of team building and talent development—hiring and coaching dozens of AI scientists and establishing bank-wide AI governance, roadmaps and IP (including two patents). An active researcher and author, Eric has published 50+ scientific articles, authored technical books, and contributed low-level numerical and Cython optimizations to the widely used QuTiP quantum toolbox. He combines hands-on algorithm design (from stochastic solvers to time-dependent Hamiltonian integrators) with executive-level change management to deploy production-grade AI systems that improve customer experience. Based in Montreal, he blends academic rigor (PhD in NLP) with pragmatic product delivery and a background in science journalism that sharpens his communication to executives and the public.
10 years of coding experience
14 years of employment as a software developer
Engineer’s Degree, Applied Mathematics and Computer Engineering, Engineer’s Degree, Applied Mathematics and Computer Engineering at Centre d'Enseignement et de Recherche en Informatique (CERI)Doctor of Philosophy (Ph.D.), Natural Langage Processing, Doctor of Philosophy (Ph.D.), Natural Langage Processing at Avignon Université
English, French, Spanish
Github Skills (11)
quantum-mechanics10
jupyter-notebook10
numerical-methods10
python10
scientific-computing10
cython10
linear-algebra10
numpy10
data-analysis10
scipy9
scientific-visualization9
Programming languages (8)
Github contributions (5)
qutip/qutip
Oct 2018 - Jan 2023
QuTiP: Quantum Toolbox in Python
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:15 releases, 788 reviews, 896 commits in 4 years 4 months
Contributions summary:Eric's commits focus on enhancing the string-based coefficient capabilities within the QuTiP library, primarily involving the implementation of Cython-based code generation and integration. They made significant changes to the coefficient and integrator classes to support and efficiently process time-dependent Hamiltonians, including the addition of a more flexible handling of arguments in the time evolution. Furthermore, they contributed enhancements to the numerical solvers, specifically the implementation of a function for accurate and efficient numerical evaluation of the system's dynamical behavior.
quantum-opticsquantum-toolboxphysicspythonquantum-mechanics
qutip/qutip-notebooks
Mar 2018 - Apr 2019
A collection of IPython notebooks using QuTiP: examples, tutorials, development test, etc.
Role in this project:Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:8 commits, 7 PRs, 4 pushes in 1 year 1 month
Contributions summary:Eric primarily focused on updating and testing the stochastic solvers within the QuTiP library's notebook examples. Their contributions involved modifying and optimizing the speed tests of various solvers such as Euler-Maruyama, Milstein, and predictor-corrector schemes. These changes likely involved improving numerical methods used for solving stochastic differential equations and assessing their performance within a quantum mechanics context. The user also updated documentation for the stochastic solvers.
pythonunittestingjupyter-notebookipython-notebooksnotebooks
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