Isabela Fons

Isabela Fons

Multi-Agent Reinforcement Learning for Energy Flexibility Optimisation

Isabela is a visiting PhD student from the University of Alicante, whose thesis explores how machine learning can be harnessed to optimize chemical processes under uncertainty. During her time with us, she has worked on multiagent reinforcement learning applied to the optimization of energy microgrids. Beyond research, she is passionate about teaching and science communication, and she has actively contributed to public engagement as an organizer of the Pint of Science Festival in her hometown.

Interests
  • Reinforcement Learning
  • Model Predictive Control
  • Bilevel Optimization
Education
  • MSc in Process Engineering, 2022

    ETH Zurich

  • BSc in Chemical Engineering, 2020

    UA - Universidad de Alicante / Universitat d'Alacant