The Exploratory Data Analysis group, led 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 scientists and others to understand data and the underlying processes - and to build better models of nature.
The research group is part of the Finnish Center for Artificial Intelligence (FCAI), where Prof. Puolamäki leads the Highlight Programme on Atmospheric AI. We are the AI group in the Virtual laboratory for molecular level atmospheric transformations (VILMA) Centre of Excellence, funded by the Research Council of Finland (2022-2029).