Francesco Fusco is a highly skilled researcher and software engineer with a wealth of industry and academic experience. With a passion for data-driven challenges, he has an extensive background in building large-scale distributed data-processing systems for network traffic analysis, business intelligence, incident response, and more. His expertise includes low-level network programming in the Linux kernel, high-performance math programming in C/assembly, and designing machine learning models using frameworks such as TensorFlow and Keras.

Francesco holds a Ph.D. from The Swiss Federal Institute of Technology Zurich (ETH), an M.Sc. in Computer Science from Universita' di Pisa, and a B.Sc. in Computer Science from Università di Pisa. He has co-authored several patents in indexing, compression, and data mining, and published in top conferences and journals in the area of data-mining, database technologies, network monitoring and AI.

Currently, Francesco is a Research Staff Member - AI Systems at IBM, where he brings his extensive experience and knowledge of high-performance programming and network and system programming under Linux to the table. Before joining IBM, Francesco was a Senior Software Engineer at Red Hat for several years, working on predictive maintenance, anomaly detection, natural language processing, and recommender systems. Prior to that, he was a PostDoc at ETH Zurich, a PreDoc Researcher at IBM, and a Network Specialist at Endace and ntop.org.