He has published multiple papers in top-tier international conferences and journals such as NeurIPS, AISTATS, JMLR, etc. Specific papers include 'IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark' (2024), 'Active Preference Learning for Ordering Items In-and Out-of-sample' (2024), and more.
Research Experience
He is the main advisor to several PhD students, including Herman Bergström, Alessandro Margueritte, Ahmet Balcioglu, Adam Breitholtz, Newton Mwai Kinyanjui, Anton Matsson, and Lena Stempfle.
Education
He was previously a post-doctoral associate in the Clinical Machine Learning group at CSAIL & IMES, Massachusetts Institute of Technology, working with Professor David Sontag. Currently, he is an Associate Professor in Computer Science & Engineering and PI for the Healthy AI Lab at Chalmers University of Technology, Sweden.
Background
His research interests are primarily focused on causal inference in machine learning and decision-making with applications in healthcare.
Miscellany
You can contact him by email at fredrik.johansson@chalmers.se or ml@fredjo.com.