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

Just published: Guided Visual Exploration of Relations in Data Sets - or how to explore data by interactive dimensi… twitter.com/i/web/status/1…

#DAMI's newest online first article is concerned with "Detecting virtual concept drift of regressors without ground… twitter.com/i/web/status/1…

Call for postdocs, research fellows and PhD students open! Interested in joining world-class research groups in the… twitter.com/i/web/status/1…

Offering 3-month summer internships in my group at @UnivHelsinkiCS @INAR_fin for BSc/MSc students from Finnish univ… twitter.com/i/web/status/1…