Simone Innocente, is a PhD student at Tyndall National Institute, contributing to the Biophotonics team. His academic journey started with a Bacherlor’s degree in Computer Science from the University of Padua in 2020. During this time, he applied machine learning techniques to predict financial outcomes using time series data for his thesis.
Simone continued with a Master’s degree in Computer Science with a specialization in Artificial Intelligence. His thesis focused on Natural Language Processing (NLP), where he developed a model for sentiment analysis prediction based on chat-based texts.
He went to a formative semester at the University of Tartu in Estonia, where he expanded his knowledge in subjects including machine translation, network science, autonomous driving and game theory.
Presently, Simone’s interest relate to the application of artificial intelligence for diagnostic and surgical guidance.
