The Explorative Data Analysis group at the Department of Computer Science of the University of Helsinki is lead by Prof. Kai Puolamäki. We study and develop algorithmic and probabilistic methods of artificial intelligence that help humans understand large heterogenous data sources and make analytic data-based decisions. Our methodological focus is on randomization methods and constrained randomization.

News

@KaiPuo

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…

My students Anton Björklund and Rafael Savvides were both awarded competitive university funded 4-year doctoral stu… twitter.com/i/web/status/1…

Back from @2019Discovery in Split, Croatia, where Anton accepted the best paper award for doi.org/10.1007/978-3-… a… twitter.com/i/web/status/1…

Anton will present our paper in Split in 2 weeks. :) @UnivHelsinkiCS @helsinkiuni twitter.com/2019Discovery/…