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William Lövfors


In 2016 I graduated with a MSc in engineering biology at LiU. The same year I started as a PhD student in systems biology. My work is focused on understanding metabolic diseases, such as type-2 diabetes, using mathematical models.

My research

Cardio-metabolic diseases are one of the leading causes of death in the modern society. In these diseases, dysfunctions in the intracellular signalling pathways are often present. One such disease is type-2 diabetes, where the pathways involved in the response to insulin are dysregulated. Insulin is a hormone released when the body has a high energy status, such as after a meal. In healthy cells in the fat tissue, increasing levels of insulin leads to increased glucose uptake and reduced fatty acid release. In cells from type-2 diabetic patients the response to insulin is blunted, with a reduced glucose uptake and increased fatty acid release. By investigating these pathways in the cells, it could be possible to find new drug targets, or new treatment regimens for type-2 diabetic patients.

I investigate these pathways using mathematical modelling. Roughly, I use models to make predictions of how cells would respond to different stimuli. If the prediction agrees with reality, tested by comparing the model to experimental data, the model can be used to also predict other things. Such things could be what happens if you subject the model to new substances. Potentially, such substances could, at least partially, restore the functions in the diabetic cell to a more normal state. Using the model, testing a large amount of new substances is both easy, cheap, fast, and does not require animals to test.

Using mathematical modelling to understand biology is common the field called systems biology. Systems biology is also the field in which students studying engineering biology (TB) will do their bachelor thesis work, in which I have been supervising groups for many years. Beyond the supervision in systems biology, I also teach basic optimization at the mathematical department.

About me

Fields of Teaching

  • I will teach bachelor's thesis for TB and optimization theory for D, M, EMM, TB, KB etc.


  • Forum scientium



Henrik Podéus, Christian Simonsson, Patrik Nasr, Mattias Ekstedt, Stergios Kechagias, Peter Lundberg, William Lövfors, Gunnar Cedersund (2024) A physiologically-based digital twin for alcohol consumption-predicting real-life drinking responses and long-term plasma PEth npj Digital Medicine, Vol. 7, Article 112 Continue to DOI


Christian Simonsson, William Lövfors, Niclas Bergqvist, Elin Nyman, Peter Gennemark, Karin G. Stenkula, Gunnar Cedersund (2023) A multi-scale in silico mouse model for diet-induced insulin resistance Biochemical engineering journal, Vol. 191, Article 108798 Continue to DOI
William Lövfors, Rasmus Magnusson, Cecilia Jönsson, Mika Gustafsson, Charlotta S. Olofsson, Gunnar Cedersund, Elin Nyman (2023) A comprehensive mechanistic model of adipocyte signaling with layers of confidence NPJ SYSTEMS BIOLOGY AND APPLICATIONS, Vol. 9, Article 24 Continue to DOI


William Lövfors, Cecilia Jönsson, Charlotta S. Olofsson, Elin Nyman, Gunnar Cedersund (2022) A comprehensive mechanistic model of adipocyte signaling with layers of confidence
William Lövfors (2022) A comprehensive dynamic model of the adipocyte