Elias is a data scientist with a focus on machine learning, statistical models and visualisation of data. He is driven by a keen interest in social conditions.
Elias provides and processes data that can then be used to predict, categorise and understand the driving forces of a problem. He can extract comprehensible information from anything ranging from text corpora to huge datasets, exploit complex contexts for accurate classification of new observations, and use artificial intelligence to find and analyse solutions to difficult problems.
Elias is an economist graduate from the University of Copenhagen. He specialises in econometrics and macroeconomics and also took courses at the Faculty of Science at the University of Copenhagen and at the Department of Applied Mathematics and Computer Science at the Technical University of Denmark. Previously, Elias worked as a risk analyst at Ørsted A/S and student assistant at Danmarks Nationalbank.
Phone: +45 22823160