Research Interests

Numerical, statistical and Machine Learning methods with applications to atmospheric physics, biology and finance:

• Clustering and variable selection for functional data 

• Denoising and Classification (supervised and unsupervised) of multispectral/hyperspectral images

• Cloud detection 

• Mass balance method to quantify trace gas emissions

• Analysis and simulation of nonlinear dynamical systems 

• Parameter estimation in biological models

• Fractional differential models

Stochastic processes:

• Time-changed Brownian Motion and First Passage Times for anomalous diffusion

• Stochastic models for the dynamics of single and coupled neurons 

• Cyber risk estimation 

• Stochastic mortality models 

• Markov Switching models 

Scientific dissemination:

• IAC representative in CREO (Campania region CNR outreach network)

• Conferences and expositions addressed to students/teachers/generic public

• Participation in Science festivals

• Editorial Board member of the MaddMaths! website