Federico Ricciuti received the B.Sc. in Computer Science from the University of Milano-Bicocca in 2017 with a thesis about the application of Reinforcement Learning and Inverse Reinforcement Learning techniques for the analysis and surveillance of Stock Markets. In 2019, during his M.Sc. in the University of Milano-Bicocca, funded by the Erasmus program, he worked in collaboration with the University of Cambridge and the Wellcome Sanger Institute in the development of new Deep Learning and Variational techniques to improve the analysis of scRNA-seq datasets. In 2020, with a Data Scientist role, he joined Eni S.P.A where he worked in the development of Deep Learning and Machine Learning methods for the automatic interpretation of geological image to facilitate the petrophysical and geological characterization of wells and reservoirs and in the development of Natural Language Processing techniques to analyze complex documents and reports. Currently, Federico works in the R&D division of TRE ALTAMIRA as Machine Learning Specialist. He is working in the development of new Deep Learning models to improve the analysis of Satellite Images and Graph Neural Network models for the analysis of Multimodal Temporal Point Clouds for the Mining, O&G, Civil Engineering sectors.
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