About
Jonas Bjermo is a Research Fellow at Linköping University's Department of Computer and Information Science, specifically in the Division of Statistics and Machine Learning (STIMA). His work centers on statistical methodologies for educational testing and measurement.
His research focuses on optimal design problems in achievement testing, particularly designing tests for measuring ability growth and optimizing examiner allocation during item calibration. Bjermo develops combinatorial optimization algorithms to solve these statistical challenges, advancing precision in educational assessment.
His 2025 publications address calibration design under ability uncertainty and optimal test construction for mean ability growth estimation, demonstrating significant contributions to psychometrics and educational measurement through innovative statistical approaches.
As part of STIMA, Bjermo contributes to a division dedicated to modern data analysis that hosts an international master's programme in Statistics and Machine Learning, fostering interdisciplinary research in data science.
