🧠 About My Work

I am a Data Scientist and Machine Learning Engineer specializing in artificial intelligence applied to energy systems. I hold a Master’s degree in Computer Science from the Université Libre de Bruxelles, where I focused on artificial intelligence, algorithms, and applied mathematics.

I work on a wide range of topics, including deep learning, machine learning, reinforcement learning, and large-scale data processing. Beyond the technical aspects, I am particularly driven by global challenges such as climate change, energy transition, and sustainable resource management.

My recent work includes electricity forecasting projects, data-driven optimization, and intelligent decision-support systems. I contributed to Voisins d’Énergie, a co-creation initiative exploring energy flexibility and community-based energy management, for which I designed and deployed a complete data collection and monitoring platform.

Subsequently, in collaboration with AIEG - a network operator - we explored electricity forecasting (both consumption and production) to address the challenge of ensuring that production does not exceed network losses. Finally, we will investigate the development of an intelligent distribution key for energy sharing.

🌍 Topics of interest

• Artificial Intelligence & Machine Learning
• Time Series Forecasting & Prediction
• Big Data Analytics & Processing
• Energy Sharing & Smart Grids
• Energy Communities & Sustainability
• Deep Learning & Neural Networks

📍 Where to Find Me

• Université Libre de Bruxelles Av. F. Roosevelt 50, CP 194/6
  1050 Brussels, Belgium
• Office: C.5.129
  Solbosch campus, Building C
  IRIDIA Research Laboratory