Navid Nobani
Assistant Professor at Università degli Studi di Milano-Bicocca
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolNavid Nobani is an Assistant Professor of Computer Science at the University of Milan-Bicocca with nine years of industry and academic experience bridging NLP, Explainable AI, and applied mathematics. His career moves from industrial data science and smart-manufacturing roles at Pirelli and Prometeon to leadership in behavioural analytics and teaching in business intelligence, combining rigorous statistical modeling with real-world data pipelines. He focuses on making language models interpretable and practical, drawing on Bayesian and probabilistic methods developed during industry projects like semi-unsupervised entity cleaning. An enthusiastic educator and productivity experimenter, Navid blends deep theoretical interests in pure math with hands-on work in Python/R and dashboarding to help students and collaborators translate complex ideas into deployable systems.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.), Industrial Engineering, Bachelor of Applied Science (B.A.Sc.), Industrial Engineering at Hormozgan UniversityMaster of Science (MS), Engineering/Industrial Management, Master of Science (MS), Engineering/Industrial Management at Politecnico di MilanoDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Università degli Studi di Milano-Bicocca
English, Persian, Italian
Github Skills (127)
notebook10
jupyter10
jupyter-notebook10
jupyterlab10
nlp9
python9
deep-learning9
machine-learning9
natural-language-processing9
forecasts8
iml8
r8
forecast8
dialogue-systems8
speech-recognition8
Programming languages (5)
Github contributions (5)
Naviden/Python_Introduction
Jan 2020 - Oct 2021
Contributions:60 commits, 66 pushes, 1 branch in 1 year 9 months
Naviden/word2vec_introduction
Dec 2019 - Mar 2025
Contributions:31 pushes, 1 branch in 5 years 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.