معرفی
Erik Fransén is a Professor of Computer Science at KTH Royal Institute of Technology, Sweden, leading research in Time-series Machine Learning, Computational Neuroscience, and Computational Biology. He has held visiting positions at Edinburgh University's Centre for Clinical Brain Sciences and collaborates internationally with institutions like Heidelberg University and Harvard University. His work spans computational modeling of neural systems, medical device optimization, and biomolecular target design.
Research focuses include mechanisms of synaptic function, chronic pain modulation, and dynamical biomarkers for Parkinson’s disease. He teaches courses in Computational Biology, Machine Learning, and Artificial Neural Networks. Recent work includes a landmark publication in Science on a brain-wide synapse atlas and contributions to Nobel Prize-related research in Physiology or Medicine (2021, 2014).
Advising and grants: Fransén supervises multiple degree projects in Computer Science and Engineering, focusing on Machine Learning and Systems. Ongoing projects include VINNOVA-funded work on digital twins for ICU ventilators and VR-supported dBrain initiatives for Parkinson’s diagnostics. Former roles include postdoctoral research at Harvard (1997–1998) and sabbaticals at Edinburgh (2017–2018) and Heidelberg (2014–2015).
Labs/Teams: Collaborates with Seth Grant’s lab (Edinburgh) on postsynaptic density modeling and Martin Schmelz’s lab (Heidelberg) on chronic pain mechanisms. His group develops computational tools for ion channel modulation and biomolecular target design with AstraZeneca.
