I am a Postdoc in the research group “Machine Learning in Sustainable Energy Systems” within the Cluster of Excellence – Machine Learning for Science at the University of Tübingen.

My current research focuses on forecasting energy prices in different scenarios using machine learning techniques.

Interests
  • Probabilistic Machine Learning
  • Machine Learning for Energy Prices Forecasting
  • (Probabilistic) Time Series Forecasting
  • Cosmology and Large Scale Structures of the Universe
Education
  • PhD in Astrophysics, 2024

    Paris-Saclay University

  • MSc in Physics, 2021

    University of Padova

  • BSc in Physics, 2018

    University of Padova