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Personal profile

Professional work

Senior lecturer in  mathematical statistics,  with many years experience of applications in medicine and technical development, both internally and externally.

My focus is applied statistics in sustainability, medicine and technical development.


My research is in applied statistics within environmental, climate and medical science. In cooperation with researchers from other scientific disciplines, mainly within MERGE, I contribute with expertise and anvanced methods in statistics and modelling.


I have taught and developed courses in statistics at all levels from first semester to PhD, and from applied statistics for doctors to the master programme in mathematical statistics and in computational science.

Currently, I am teaching the basic course in mathematical statistics for students in ecosystem engineering (FMSF75), a course entirely devoted to relevant areas and practical examples from environment and resource management. 

I am also responsible for the new advanced course Data analysis: statistical learning and visualisation (FMSF90). This course is newly developed and has so far been given for PhD students, but will now be further developed for undergraduate students.

Furthermore, as of this autumn, I am teaching on the new master's programme in computational science at the Faculty of Science.


I have a great interest in pedagogy and didactics. I work with various forms of active learning for the students, including cooperative learning. I am also involved in organising the pedagogical seminar at the Centre for Mathematical sciences, and regularly participate in pedagogical lunches at the department.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 13 - Climate Action

UKÄ subject classification

  • Probability Theory and Statistics
  • Cancer and Oncology


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Collaborations and top research areas from the last five years

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