Summary
Luca Clissa is a Fixed Time Researcher and former PhD student in Data Science and Computation at the University of Bologna with eight years of experience applying machine learning and AI to methodological research and applied problems. He blends academic rigor—PhD and top honors in statistics—with hands-on work at institutions like INFN and CERN, where he tackled error-log clustering and particle identification tasks. Luca writes technical articles for Towards Data Science and has taught practical deep learning courses such as cell counting with ResUNet, bridging research and practitioner audiences. His background spans statistical foundations, production-focused data science, and teaching, making him comfortable moving between theory, implementation, and communication. Based in Bologna, he combines strong academic credentials with industrial experience at Vodafone/ALTEN and a track record of producing reproducible, explainable ML solutions. An understated strength is his consistent focus on methodological clarity, turning complex models into teachable, applicable tools.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Data Science and Computation, Doctor of Philosophy - PhD, Data Science and Computation at Alma Mater Studiorum – Università di Bologna
University of Bologna
High School, Mathematics and Computer Science, 100/100, High School, Mathematics and Computer Science, 100/100 at Liceo Scientifico
English, Spanish, Italian