معرفی
Petri Myllymäki is a Professor of Artificial Intelligence and Machine Learning at the Department of Computer Science, University of Helsinki. He serves as Director of the Helsinki Institute for Information Technology (HIIT), Vice-Director of the Finnish Center for Artificial Intelligence (FCAI), and Director of the Helsinki Doctoral Education Network in ICT (HICT). His work bridges theoretical machine learning research with industrial applications, spanning probabilistic modeling, clustering, and data visualization.
- Current affiliations include: University of Helsinki, HIIT, FCAI, HICT, and ELLIS Executive Committee
- Global roles: UN High-Level Advisory Body on AI, AI/Robotics PPP (ADRA) for EU, and World Summit AI editorial board
His research interests focus on Bayesian network structure learning, algorithm selection, and data science. Recent work emphasizes empirical evaluation of computational complexity and hybrid systems combining hashing with probabilistic models. Earlier studies include exploratory search intent modeling and genomic motif analysis.
Notable scientific achievements include 37 Google Scholar h-index, 6700+ citations, and Ellis Fellowship. He has been recognized for contributions to theoretical machine learning and practical AI applications in Finland.
As a founder of AI startups like Sprint.ai and Ekahau, Myllymäki has driven commercialization of machine learning technologies, resulting in fielded applications and patents across diverse sectors.
