PhD Student in Ingegneria dell’Informazione at Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Firenze. My research interests are machine learning, nonmonotone strategies, Nash Equilibrium Problems and derivative free optimization.



  1. A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties. Galli, L., Kanzow, C., Sciandrone, M. Computational Optimization and  Application (2018) 69: 629-652. (
  2. Machine learning methods for short-term bid forecasting in the renewable energy market: A case study in ItalyCocchi G.Galli L.Galvan G.Sciandrone M.Cantù M.Tomaselli GWind Energy (2018) 5: 357-371. (
  3. Modeling cancer drug response through drug-specific informative genes. Parca L., Pepe G., Pietrosanto M., Galvan G., Galli L., Palmeri A., Sciandrone M., Ferrè F., Ausiello G., Helmer-Citterich M. Scientific Reports (2019) 9. (
  4. A unified convergence framework for nonmonotone inexact decomposition methods. Galli L., Galligari A., Sciandrone M. Computational Optimization and Application (2019). (

My ORCID number: 0000-0002-8045-7101

Phone: +39 3333715116