I am a statistician and researcher. My research is mainly focused on optimal test design and item calibration. I mostly use Item Response Theory, optimal design, and combinatorial optimization techniques in my research. Currently, I work as a statistician at the Swedish National Agency for Education (Skolverket) and as a lecturer at the Department of Statistics of Stockholm University. I am working on developing a method for the standardization of the students’ merit scores based on the results of centrally marked national final exams.

About me

I have a master’s degree in mathematics from Uppsala University, which I later supplemented with three semesters of statistics. After working as a statistician at Statistics Sweden (SCB) and the National Agency of Education (Skolverket) for about six years, I started as a doctoral student at the Department of Statistics of Stockholm University. I defended my thesis, entitled “Test Design for Mean Ability Growth and Optimal Item Calibration for Achievement Tests” in December 2021, supervised by Frank Miller. After working for one year as a temporary lecturer, I started a position as a postdoctoral researcher at the Division of Statistics and Machine Learning (STIMA) at Linköping University.

Besides my research interests, I am interested in science in general. Especially mathematics, theoretical physics, and astronomy. Even though my understanding of the latter is at a layman’s level.

If you have any research interests you would like to discuss, don’t hesitate to contact me!

Research

News

August 2026 - New preprint available! “Algorithms for optimizing model-based incomplete block designs” with Frank Miller. https://arxiv.org/abs/2608.27056