Postdoctoral Researcher, Italian Institute of Technology
Atomistic simulations · Enhanced sampling · Machine learning
Postdoctoral Researcher, Italian Institute of Technology
Atomistic simulations · Enhanced sampling · Machine learning
I am a physicist interested in atomistic simulations, particularly the development of computational methods and their applications to complex problems ranging from biophysics to physics and chemistry.
I obtained a Ph.D. from the Swiss Federal Institute of Technology (ETHZ), Zurich, Switzerland, under the supervision of Prof. Michele Parrinello. I focused on the integration of machine learning and enhanced sampling techniques to study rare events in physics, chemistry and biology. Examples are the generation of machine learning-based potentials for phase transitions and chemical reactions, as well as improving enhanced sampling methods using deep learning and the data-driven identification of collective variables.
I am currently a Postdoctoral Researcher in the Atomistic Simulations group at the Italian Institute of Technology, Genoa, Italy, and in the TransHyde research network AmmoRef, funded by the German Federal Ministry of Education and Research. While continuing to develop these methods, I am also focusing on their application to important real-world problems. I would like to apply cutting-edge machine learning and advanced sampling techniques to understand and improve catalytic processes, with a focus on ammonia synthesis and decomposition, which are essential to take a further step toward the hydrogen economy.
2011-2015 B.Sc. Physics, University of Milan (Italy)
2015-2017 M.Sc. Physics, University of Milan (Italy)
2018-2021 Ph.D Physics, ETH Zurich (Switzerland)