I am starting as an Assistant Professor in Life Science Informatics at the University of Helsinki in Finland. My research background is in machine learning with evolving data. My main current research is in computational palaeobiology, which is about computational analysis of the global fossil record, ecological and climate data to better understand history of life, evolutionary processes and environmental change

What's new?

  • August 2017 » I'm looking for a PhD student in machine learning for evolving data in biogeosciences. The focus is on computational methods for analysis of the global fossil record, ecological and climate data to better understand history of life, evolutionary processes and environmental change. A successful candidate is expected to either have some experience in machine learning with evolving data (concept drift, data streams, change detection, transfer learning or alike), or in life/geo-sciences (bioinformatics, ecology, evolutionary biology, palaeontology or alike), and willingness to learn within both disciplines during the PhD. Get in touch by October 15, 2017 if you are interested: indre.zliobaite @helsinki.fi
  • Nov 2016 » Our commentary regarding evolution and learning is published
  • Oct 2016 » Our PNAS paper is published, Herbivore teeth predict climatic limits
  • Sep 2016 » I am attending ECMLPKDD in Riva del Garda (September 19-22)
  • July 2016 » Visiting Saarland University and Max Planck institute in Saarbruecken
  • May-June 2016 » I'm in Berlin on a research visit to the Museum of Natural History
  • May 2016 » I am visiting EU Fundamental Rights Agency FRA (May 18)
  • May 2016 » We are organizing a workshop on Data science for social good at ECMLPKDD'16
  • Apr 2016 » I was awarded Docentship in Computer Science, University of Helsinki
  • Feb 2016 » I am visiting Turkana Basin Institute in Kenya