Bojan Mihaljevic is an associate professor and AI researcher based in Madrid with 11 years of experience at the intersection of Bayesian graphical models and applied machine learning, particularly in neuroscience. He is first author of nine papers in top journals (h-index 8, 160+ citations), has led development of the bnclassify R package, and contributed to major projects including the Human Brain Project and a BBVA-funded big data climate-and-neuroscience initiative. Bojan combines strong software engineering and production experience—years as a Java developer and a stint as a data science consultant in real estate—with deep academic credentials (PhD in AI, neuroscience training at EPFL). He teaches AI, machine learning and statistics in English and Spanish, has coordinated a machine learning summer school since 2014, and accumulated 90+ lecture hours in workshops and courses. A frequent reviewer and program committee member, he bridges theoretical advances in score-based and RKHS approaches for nonstationary temporal Bayesian networks with practical tooling and reproducible software. Colleagues value his rare mix of rigorous probabilistic modelling, hands-on coding (R/Java) and experience translating research into usable packages and real-world consultations.
10 years of coding experience
8 years of employment as a software developer
High School, High School at Dunalastair
High School Mathematics Computer Science Physics, High School Mathematics Computer Science Physics at Matematička Gimnazija
Universitat d'Alacant
Bachelor of Science (B.Sc.) Computer Science and Business Management, Bachelor of Science (B.Sc.) Computer Science and Business Management at Universidad Diego Portales
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Universidad Politécnica de Madrid
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