Andreas Luttens, PhD
Principal Investigator, DDLS Fellow
Andreas obtained his degree in chemistry from Ghent University, Belgium. He pursued a PhD in molecular life sciences at Uppsala University, after which he moved to MIT to work on deep learning methods for the discovery of new antibiotics. Andreas is currently a DDLS Fellow in Epidemiology and Biology of Infection at Karolinska Institutet. He loves going on holiday with his wife, where he tries to spend as much time as possible scuba-diving!
Lin Chen
Visiting PhD student
Lin holds an MEng from Huzhou University and is currently a third-year PhD student in the School of Biological Sciences at the University of Edinburgh. His research focuses on machine learning and AI for structure-based virtual screening, drug discovery, and cheminformatics. Lin joined the team in February 2026 for a research exchange.
Tung Dao Quang
Master thesis student
Tung received his pharmacist degree from Hanoi University of Pharmacy in 2015. After graduation, he worked as a clinical pharmacist for 8 years at National Hospital for Tropical Disease in Vietnam. Tung is currently pursuing a Master degree in Artificial Intelligence for Health at Stockholm University. His interest lies in using AI for drug discovery and development.
Josefin Gejdebäck
Master thesis student
Josefin is studying for an M.Sc. in Chemical Engineering with a focus on Pharmaceuticals at Uppsala University. During her studies, she took part in an exchange program at Zhejiang University in Hangzhou, China. She is interested in learning how computational modelling can help improve drug discovery. In her free time, she enjoys travelling and has recently discovered a love for surfing
Magdalena Osełka
Project student
Magdalena holds a Bachelor’s degree in Biotechnology from the University of Warsaw. She is currently pursuing the Molecular Techniques in Life Science joint programme at Karolinska Institutet, Stockholm University, and KTH Royal Institute of Technology. During her studies, she discovered the significant impact of computational modeling in biological research, which inspired her to contribute to this rapidly developing field. Outside of academia, Magdalena enjoys an active lifestyle and thrives in sports, with football being her favorite.