Dr. Nicolina Sciaraffa received her master’s degree in Biomedical Engineering in 2016 from Sapienza University of Rome. She was awarded as  “Excellent Graduate” by Fondazione Roma Sapienza and her thesis on the use of neuroelectrical imaging and multi subject connectivity to formulate a model for the description of cognitive empathetic processes was awarded among Best thesis on disability. From the same university in 2020, she received her Ph. D. in Morphogenesis and Tissue Engineering (Biophysics curriculum) through a thesis titled: “Translation of Neurophysiological models from Laboratory to Real Environment by means of Artificial Intelligence methodologies”.

She was Post-doctoral researcher at the Department of Molecular Medicine until July 2021 and then she worked in technology transfer in neuroscience for a spin-off company.  In 2022 she got a second-level master’s course in Data science and big data analytics at the University of Palermo through a thesis entitled “Machine learning approach for differential expression analysis based on ensemble feature selection applied to transcriptomics Big Data”. Since the end of 2022, she is part of the Advanced Data Analysis group of the Ri.MED Foundation.

Dr. Nicolina Sciaraffa has been focusing her work on the use of artificial intelligence methodologies for the translation of neurophysiological models. In particular, thanks to her involvement in several European projects, she gained expertise in signal processing, development of machine-learning algorithms, and brain connectivity estimation. In Ri.MED Foundation, she is developing automated workflows for the analysis of biological data (i.e., transcriptomic and genomic data).

 She is currently the author of more than 30 papers published in peer-reviewed scientific journals (Scopus h-index: 16).