Main areas of research


Understanding and therapeutic targeting of cell death and lysosomes
  1. Deciphering the molecular machinery of lysosome-dependent cell death and its interactions with other cell death and survival processes
  2. Understanding the role of lysosome-dependent cell death in diseases with excessive cell death
  3. Therapeutic modulation of lysosome-dependent cell death and lysosome function, particularly for neurodegenerative diseases, lysosomal storage diseases, stroke and cancer
  4. Development of novel tools and methods for studying lysosome-dependent cell death and lysosome function

 

Artificial intelligence applications in biomedical science

  1. Use of artificial intelligence-based approaches for biomedical image analysis
  2. Use of artificial intelligence-based approaches for protein function and structure prediction and modelling
  3. Use of artificial intelligence-based approaches for integrating biomedical "big data" such as proteomics and genomics datasets

Besides these core areas we are involved in other collaborative projects related to cell death, lysosomes and artificial intelligence and always open to new projects. Our work is highly interdisciplinary and we combine basic cell/molecular biology, model organism work, clinical aspects, bioimaging, structural biology and different forms of computational science (e.g. bioinformatics, image analysis, big data analysis, artificial intelligence and machine learning).

Research partners

Doing research alone is inefficient and boring. Besides our core areas we are involved in several collaborations related to cell death, lysosomes and artificial intelligence and always open to new partnerships. Our group is also part of several local and international research networks which greatly facilitates our collaborative and interdisciplinary way of working:


NEUBIAS Network of European Bioimage Analysts (EU COST Action CA15124)
TRANSAUTOPHAGY (EU COST Action 15138) 
Nordic Autophagy Society
StrokeSyd
AIML@LU
BioCARE
LINXS
NeuroLund