I am an applied scientist at Amazon working on novel forecasting algorithms to predict the potential success and sales of products on the Amazon marketplace.
In addition to my job in forecasting research, I carry out research and I co-supervise a PhD student in the area of AI and the energy transition, another research topic that I am interested in.
I hold a PhD degree from TU Delft in that same topic, i.e. AI applied to the energy transition, and my PhD research on this domain has received several awards.
I am 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.
Applied Scientist at Amazon developing novel forecasting algorithms.
Research scientist in AI techniques to facilitate the energy transition and the integration of renewable sources.
Research assistant in the area of optimization and optimal control. Teaching assistant in two M.Sc. courses.
PhD in data science in the context of energy systems and energy markets with the end goal of advancing the energy transition through AI.
Masters degree in Microsystems engineering with a major in optimization and optimal control.
Five-year bachelor degree in Electronics, Automatic Control and Robotics