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 affiliated with the Finnish Center for Artificial Intelligence (FCAI) in which Prof. Puolamäki leads the Highlight Programme on Atmospheric AI. We are the AI group in the "Virtual laboratory for molecular level atmospheric transformations" in the Academy of Finland Centre of Excellence Programme 2022-2029. (We are hiring, see the "jobs" link above!)

Exploratory Data Analysis Group 2021-11-24

Short video presenting the Exploratory Data Analysis group (24 November 2021).
@KaiPuo

We are looking for postgraduate students and postdoctoral researchers to build Virtual Atmospheric Laboratory (VILM… twitter.com/i/web/status/1…

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…