Who Am I

Théo Stassen — Research engineer and software developer focusing on scientific data processing, machine learning, and interactive web visualizations.

I build robust data pipelines, scientific software, AI models, and elegant visual interfaces.

I obtained my master degree in AI computer engineering in 2020, which is actually perfect because :

• I learned coding the hard way, without the genAi/GPT assistants.

• I get what they can do, how they do it, and what they do

Based in Paris — French & English

Current Work Experience

Research Engineer in computer science applied to astrophysics

Feb 2023 - Now | French and English

Laboratoire de physique des plasmas (LPP)

Sorbonne Université, Paris, France.

Institution logos

Main contribution

ESA JUICE Mission - RPWI SCM.

Software development as part of the international space mission led by the European Space Agency (ESA). Worked as software engineering / data referent inside an astrophysics team, in collaboration with various scientists. Responsibilities included developing data processing software, implementing and calibrating mathematically complex filters, and analyzing time-series data to deliver robust, usable science data. The software integrates into an international data pipeline and follows high standards for maintainability and quality.

Including

Python Python PyCharm PyCharm NumPy NumPy Pandas Pandas Sphinx Sphinx Git Git Linux Linux Matlab Matlab IDL IDL C++ C++

Previous Work Experience

Research Engineer

Jan 2021 - Dec 2022 | French and English

CeCoTePe / Centre de Coopération Technique et Pédagogique

Haute École de la Province de Liège, Liège, Belgium.

Main contribution

Project SLS

Frontend development of an innovative Dynamic Clinical Checklist web application (Dynalist), part of SLS (Surgical Logistics System). Worked as software referent within engineering teams collaborating with a broad range of stakeholders (sales, doctors, nurses, anesthetists). Developed a web application to help medical staff using dynamic, easy-to-use checklists: primarily frontend/UI/UX with some backend work. and follows high standards for maintainability and quality.

Including

JavaScript JavaScript React React Django Django TensorFlow TensorFlow Keras Keras Python Python Linux Linux

Skills

Core

Software Engineering Git Python development Python AI / Machine Learning TensorFlow Data Analysis NumPy

Programming

Python Python Java Java JavaScript JS C++ C++ C C SQL / MySQL MySQL HTML5 HTML5 Matlab / Octave Matlab IDL IDL Lua Lua

Libraries & Frameworks

TensorFlow TensorFlow Keras Keras MXNet MXNet GluonTS GluonTS OpenCV OpenCV Scikit-learn Scikit-learn NumPy NumPy LLVM LLVM Prolog Prolog Pyomo Pyomo

Tools & Software

LaTeX LaTeX Sphinx Sphinx Excel Excel Git Git Jira Jira

Front-End

React React Angular Angular Vue.js Vue.js TailwindCSS Tailwind Bootstrap Bootstrap

Back-End & DevOps

Flask Flask Django Django MySQL MySQL PHP PHP Docker Docker

OS & Dev

Linux Linux Windows Windows

Design & Tools

Canvas Canvas Plasmic Plasmic

Languages

French: Native · English: Advanced

Personal Projects

Do You Really Need AI?

Public Website, for demonstration and experimentation purpose. In progress / Alpha version

The main purpose is the creation of a ironic and conceptual website, combining a subjective (and pedagogical) statement of the state of Generative AI and a GenAi-based multi-agent reinforcement learning algorithm as core.

doyoureallyneedai.fly.dev

Background

Sep 2018 - Sep 2020

University Master in Computer Science and Engineering, professional focus in Intelligent Systems (English).

Faculty of Applied Sciences, Université de Liège, Liège, Belgium.

Sep 2015 - Sep 2018

University Bachelor in Civil Engineering, Option Informatics and Electronics (French and English).

Faculty of Applied Sciences, Université de Liège, Liège, Belgium.

Scholarship achievements

Sep 2019 - Sep 2020

Master's Thesis: "Comparison of probabilistic forecasting deep learning models in the context of renewable energy production".

Theoretical analysis focused on probabilistic forecasting of electrical time-series for renewable energy.

GluonTS GluonTS Python Python Keras Keras NumPy NumPy

Sep 2018 - May 2019

Master 1 Integrated Software Team Project: "Innovative system for collecting flood-related observations"

Full-stack development for collecting complex flood-related data.

Angular Angular JavaScript JS TypeScript TS SQL SQL HTML5 HTML5