I am currently a postdoctoral researcher at the CWI (Centrum Wiskunde & Informatica) in Amsterdam. My research interests are in the domain of machine learning, applied probability, and partial differential equations. My current focus is on the theoretical aspects of neural networks, understanding how and why they work, and their applications in mathematical finance and engineering. Furthermore, I am interested in the applications of neural networks in finance, optimization and smart cities.
I obtained my PhD cum laude from the University of Bologna in Financial Mathematics as part of the Marie-Curie Industrial Doctorates and Horizon2020 project WakeUpCall under the supervision of Prof. Andrea Pascucci and Prof. Cornelis W. Oosterlee. I have obtained my Master's degree in Quantitative Finance at the VU Amsterdam and my Bachelor's degree in Applied Mathematics from the Delft University of Technology.
My current work in machine learning:
Understanding neural networks: loss surface structure; generalization bounds; optimization algorithms; the links between neural networks and PDEs; neural networks in a limiting setting (Gaussian process behavior, interacting particle systems)
Applications of neural networks in finance, smart cities and engineering: solving PDEs; time series forecasting, option pricing and calibration, optimizing processes in smart cities
May 2019 "Generalization in fully-connected neural networks for time series forecasting" got accepted to the ICML Time Series Workshop
May 2019 "The effects of optimization on generalization in infinitely wide neural networks" got accepted to the ICML Workshop on Understanding and Improving Generalization in Deep Learning