Johan Olsson

Johan Olsson is a data consultant at Netlight since October 2023, previously serving as a research fellow at Harvard University from January to September 2023, where a first-authored paper on Distributed Reinforcement Learning was accepted to the American Control Conference (ACC) 2024. Prior experience includes roles as a data scientist and backend engineer at Axis Communications, contributing to projects on outlier detection and ETL pipelines, as well as deployment tools. Johan's earlier positions include teaching assistant in mechanics at The Faculty of Engineering at Lund University and mechanical assembler at Roxtec Group. Johan holds a Master of Science in Engineering Physics from The Faculty of Engineering at Lund University and has participated in a visiting research program at Harvard University and an exchange semester at the University of Sydney.