Keynotes & Invited SPEAKERS

Founding Data Scientist at Redpine, Stockholm. Vesterbacka holds a PhD in Physics from ETH Zürich, has six years of research experience at CERN, and worked on applied machine learning as a postdoctoral researcher at NYU. At the National Library of Sweden, she fine-tuned the state-of-the-art Swedish speech-to-text model. She is currently the Founding Data Scientist at Redpine, where she develops data valuation and attribution methods aimed at unlocking proprietary data for AI

Associate Professor at the University of Helsinki Dorota Glowacka is an associate professor at the University of Helsinki, working within the field of computer and information science. She completed her PhD in the Machine Learning group at University College London (UCL). Prior to joining University of Helsinki, she was assistant professor in machine learning in the School of Informatics at the University of Edinburgh. Currently, she is the leader of the Exploratory Search an

Professor at the Department of Applied Mathematics and Computer Science at the Technical University of Denmark, DTU. Aasa Feragen is CSO of Prenaital and Professor at the Technical University of Denmark. Her MSc and PhD in mathematics are both from the University of Helsinki, following which she held postdocs at the University of Copenhagen, and the MPI for Intelligent Systems in Tübingen. Aasa's research sits at the intersection of machine learning, mathematics, and medical