Kaede Johnson

Kaede Johnson, M.Sc. 

Doctoral Research Associate

Kaede Johnson is a PhD Student at the Institute of Behavioral Science and Technology. His research interests center on collaboration and productivity with respect to personalized GenAI in the workplace.

He received BSc degrees in Economics and Mathematics from the University of Maryland, College Park, as well as a MSc in Digital Humanities from EPFL.

His prior work includes economic modeling and research at the Federal Reserve Board, internal data science consulting at Macmillan Publishers, and a research project on GenAI preference optimization for accessibility under the Innosuisse IICT Flagship.

Reading and exercising are his chief pastimes.