Michele Gandolfi
Research Fellow
Dipartimento di Chimica
Università degli studi di Milano
Michele Gandolfi
Research Fellow
Dipartimento di Chimica
Università degli studi di Milano
Room 11S Corpo B
via Golgi 19, Milano 20133, ITALY
Tel: +39 02 503 14257
Email: michele.gandolf@unimi.it
My research in the Ceotto group focused on developing algorithms for classical and semiclassical dynamics in vibrational spectroscopy, with applications to small and medium-sized organic molecules.
I earned my PhD in 2024 for work on the dynamics of molecules subject to artificially decoupled potentials, a project that introduced a novel perspective on atom-atom interactions and established rigorous techniques to assess the significance of atom pair correlations.
My scientific interests extend beyond chemical physics to include discrete mathematics, theoretical computer science, statistics, and machine learning.
I am currently a postdoctoral scientist in the LCPT group at EPFL.
Main research interests
- Development of algorithms for molecular dynamics simlations.
- Semiclassical dynamics for spectroscopy simulations.
- Machine learning and chemistry databases.
Curriculum Vitae
- 2024 - present
- Postdoctoral Scientist, LCPT group, Swiss Federal Technology Institute of Lausanne.
- 2019 - 2024
- Ph.D. Candidate and research fellow, Ceotto group, Università degli Studi di Milano.
- 2018 - 2019
- Computer Programmer and Data Science consultant at Capgemini.
- 2018 (May-October)
- Postgraduate Researcher, Richardson group, ETH Zurich.
- 2017
- M. Sc. in Chemical Sciences (110/110 cum laude) thesis written in the Milano Chemometrics and QSAR Research Group, Università degli Studi di Milano Bicocca.