Petri Myllymäki


Curriculum Vitae

Petri Myllymäki is a full professor at the Department of Computer Science of University of Helsinki, Finland, and the Director of the Helsinki Institute for Information Technology (HIIT), a joint research institute of University of Helsinki and Aalto University. He is also the Director of the Helsinki Doctoral Education Network in ICT (HICT). Prof. Myllymäki is one of the co-founders and the current leader of the Complex Systems Computation (CoSCo) research group, and he has over 30 years of experience in research in the area of intelligent systems. His current research interests are focused on machine learning and data analytics, in particular with Bayesian networks and other probabilistic models. He has been an editorial board member, program chair, committee member and reviewer for numerous international scientific journals, conferences and organizations, and he has published 150 scientific articles in his research area. He is a co-founder of Ekahau Inc., Cloud'N'Sci Inc., Etsimo Inc. and BayesIT Inc., and has also been responsible for several applied research projects with other companies including Nokia, Tieto, Elisa, M-Brain, Kesko, Kone, StoraEnso, Space Systems Finland/European Space Agency, ABB and AlmaMedia, and the industrial co-operation has lead to a number of fielded applications and patents. He is currently the chairman of the Collaboration Forum for Scientific Computing, chairman of the working group in Digitalization and AI to support the programme "Vision for higher education and research in 2030"of the Ministry of Education and Culture,  expert member of the steering group of the research programme on Novel Applications of Artificial Intelligence in Physical Sciences and Engineering Research (AIPSE) of the Academy of Finland, member of the Finnish Academy of Technology, member of the National Committee for Research Data Management, and member of the ESFRI Strategy Working Group for Data, Computing and Digital Research Infrastructures (SWG DIGIT)

Latest publications

  1. Empirical Hardness of Finding Optimal Bayesian Network Structures: Algorithm Selection and Runtime Prediction

    Malone, B., Kangas, K., Järvisalo, M., Koivisto, M. & Myllymäki, P. Jan 2018 In : Machine Learning. 107, 1, p. 247-283 37 p.

    Research output: Contribution to journalArticle

  2. Duplicate Detection for Bayesian Network Structure Learning

    Jahnsson, N., Malone, B. & Myllymäki, P. Jan 2017 In : New Generation Computing. 35, 1, p. 47-67 21 p.

    Research output: Contribution to journalArticle

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Latest activities

  1. Ministry of Education and Culture (External organisation)

    Myllymäki, P. (Chair)
    26 Jan 201831 Dec 2019

    Activity: MembershipMembership or other role in national/international committee, council, board

  2. Stony Brook University, Yhdysvallat

    Myllymäki, P. (Visiting researcher)
    6 Nov 201710 Nov 2017

    Activity: Visiting an external institutionAcademic visit to other institution

  3. Vector Quantization Techniques for Approximate Nearest Neighbor Search in Large-Scale Datasets

    Myllymäki, P. (Opponent)
    13 Oct 2017

    Activity: ExaminationOpponent of doctoral dissertation

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Latest projects

  1. Tietotyön vallankumous / Revolution of Knowledge Work

    Floréen, P., Ravaja, N., Tarkoma, S., Myllymäki, P., Jacucci, G., Turpeinen, M., Kaski, S. & Müller, K.

    Unknown funder


    Project: Research project

  2. Studia Stemmatologica

    Heikkilä, T., Myllymäki, P., Roos, T., Halonen, M., Zou, Y., Arohi, A., Haugen, O. E., Bordalejo, B., Haverling, G., Robinson, P., Roelli, P., Bachmann, D., Phillips-Rodriguez, W., Chiang, D., Mace, C., Windram, H., Howe, C., Stolz, M., Apollon, D., Blockeel, H., Chlench, K., Viehhäuser, G., Schwager, S., Tehrani, J., Buzzoni, M. & Conti, A.

    Suomen Kulttuurirahasto


    Project: Research project

  3. Stemmatologian algoritmiset menetelmät

    Roos, T., Myllymäki, P., Heikkilä, T. & Zou, Y.

    Helsingin yliopiston rahastot


    Project: Research project

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