Globalstars Taiwan Call 2025

3 Mar – 29 Aug 2025

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Ville Hautamäki

Associate Professor

Precision medicine via AI

Joensuu, Finland

1 profile visit

25 yrs of research experience in machine learning and AI. My current focus is interpretable machine learning for 6G PHYS and deep learning single-cell RNA-seq.

My organisation

Research in deep learning and AI tools for single-cell transcriptomics.
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About me

Ville HAUTAMÄKI (PhD), is an  Associate Professor at the School of Computing, University of Eastern Finland (UEF).  He received the Ph.D. degree in Computer Science from the UEF in 2008. He worked from 2009 to 2011 as a research fellow at the Institute for Infocomm Research, A*STAR, Singapore. Then in 2011 to 2014 he worked as a PI on an Academy of Finland funded project at the UEF. In 2013 he worked for six months as a visiting scholar at the Georgia Institute of Technology, USA. In 2014, he won a Nokia Visiting Professor grant to visit Georgia Institute of Technology. In 2015, he was a PI of a Finnish ministry defense funded automatic foreign accent recognition project funded by the Finnish Ministry of Defense. In 2016, his team won third place in an international AI reinforcement challenge, VizDoom. Four of his PhD students have graduated. He has served in the COST Action IC1206. He has served as an associate editor in Digital Speech Processing and is serving currently as an associate editor of IEEE Signal Processing Letters. He has been a member of the IEEE Speech and Language Processing Technical Committee (SLTC).  Recently he PI’d of an Academy of Finland funded deep learning  project and Finnish ministry of  defense funded DeepFake detection project, and co-PI’d  CZI funded deep learning project. He supervises and co-supervises five PhD students.

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Skills

  • Machine Learning
  • AI
  • Computational Biology
  • deep learning
  • Reinforcement learning

Interests

  • Robotics
  • 6G physical layer
  • precision medicine