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Filip Edström is a PhD student specializing in Statistics at the Umeå School of Business, Economics and Statistics (USBE). His research interests focus on the application of causal models in artificial intelligence, aiming to leverage these methodologies to advance knowledge and practices in the field. Filip actively contributes to the academic community through various research projects and has been involved in instructing courses such as 'Statistics A1' and 'Data Analytics with R'. He is dedicated to promoting open science and is engaged in longitudinal research initiatives that explore robots' causal capabilities. With a firm foundation in statistical theory and its applications, he aims to integrate advanced analytical techniques into meaningful research outcomes.
Umeå School of Business, Economics and Statistics (USBE) • Umeå
Works on research related to causal models applications in artificial intelligence.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.