The Exploratory Data Analysis group, lead by Associate Professor Kai Puolamäki, is located at the Department of Computer Science and Institute for Atmospheric and Earth System Research (INAR) at the University of Helsinki. We work at the intersection of computer science and natural sciences. We study and develop machine learning models of measured and simulated natural world phenomena. Our objective is to find ways for the scientists and others to understand data and the underlying processes - and to build better models of the nature. The research group is part of the Finnish Center for Artificial Intelligence (FCAI). Prof. Puolamäki leads the FCAI Highlight Programme on Atmospheric AI.

News

@KaiPuo

Big thanks to @SuomenAkatemia for funding our new Virtual laboratory for molecular level atmospheric transformation… twitter.com/i/web/status/1…

We’re proud to present eleven new Finnish #CentresOfExcellence for 2022–2029 📣 The CoE Programme for 2022–2029 incl… twitter.com/i/web/status/1…

We are looking for a doctoral student/postdoc in AI and/or natural sciences to join our team in building Virtual At… twitter.com/i/web/status/1…

✨ Still a few days left to apply for our postdoc and research fellow positions! See the list of topics and apply he… twitter.com/i/web/status/1…