“It feels fantastic and deeply honouring. I’m proud that the work I’ve devoted so much time to is being recognised. For me personally, I’m delighted and honoured that my work has received this recognition,” says Jenny Arpe.
In her master’s thesis at LiU, Jenny Arpe combined advanced machine learning with metabolic data to analyse biological changes after death. By training an AI model on data from nearly 5,000 samples, she was able to show that accurate predictions of the time elapsed from a person’s death to measurement are possible.
Biomedical Engineering meets forensics
Jenny Arpe studied to become a Master of Science in Engineering at LiU and did her degree project at the Department of Biomedical Engineering in collaboration with the National Board of Forensic Medicine.
Her work has now been taken further by the research group at LiU and the National Board of Forensic Medicine. The results from her thesis have formed the basis for a scientific publication and have also been used as supporting material in new research funding applications.
“This is a pioneering interdisciplinary project that combines medicine and artificial intelligence and has the potential to influence both future research and practical forensic work. The work has been thoroughly carried out, is well-structured and demonstrates a great ability to turn theory into practical societal application,” says Ulrika Lindstrand, President of the Engineers of Sweden, the Swedish union for graduate engineers who award the Examenspris civilingenjör till Christopher Polhems minne prize.
About the award
Christopher Polhem (1661–1751) was one of Sweden’s most prominent innovators of all time. The thesis was selected in competition with 4,540 other Master of Science theses in 2024, with the technical higher education institutions having their own nomination processes.
The thesis award will be presented at the same time as the Polhem Prize 2025 winner is made public on 19 November.