Stefano Fiscale

Stefano is a PhD student at Parthenope University of Naples, working in the Department of Science and Technology. Currently, he is involved in the development of Machine Learning (ML) methods to identify exoplanets in Kepler and TESS data. He is also the principal observer in the project "Comets beyond 4 au: supporting ESA Comet Interceptor mission by modeling cometary dust production (Asiago)" with Principal Investigator Elena Mazzotta Epifani.

He obtained his master's degree in Machine Learning and Big Data from Parthenope University of Naples, Italy, in 2022.

As he is very keen in improving his communication skills, he attended several courses and school either online and in person. More precisely, he obtained certificates of courses completion by Nature Masterclasses and Science.

Education

Science

His research is devoted to the identification of exoplanets in the data collected by space-based transit surveys like NASA's Kepler and TESS. To this aim, he is developing both supervised and unsupervised ML algorithms. As of today, the supervised ML algorithm he developed is a Convolutional Neural Network (CNN). This network, which is trained on Kepler and TESS data, is able to perform well as it correctly classifies the 88% of real exoplanets. For further details about this work, the reader may find useful to read the original articles: Fiscale et al. (2021), Fiscale et al. (2023).