I am a computer science researcher at the Flemish Institute for technological research (VITO) in Belgium. I have recently completed my PhD degree at the Delft Center for Systems and Controls at TU Delft. My research comprises the development of machine learning, optimization, and data science solutions that help advance the energy transition. My PhD work involved the study and research of forecasting and control techniques that, by optimal interaction with electricity markets, allowed more integration of renewable sources and guaranteed larger profits for market agents.
My research interests are applications of machine learning, numerical optimization, artificial intelligence, data science, deep learning, and forecasting algorithms.
As side projects, I am also the developer of optidef, a Latex library for defining optimization problems, and of the epftoolbox python library, the first open-access library for driving research in electricity price forecasting.