Ole Lund 

Professor, DTU Health Technology (Bioinformatic)

Email: olund@dtu.dk

Ole Lund is a Professor in Bioinformatics at the Department of Health Technology at DTU, specializing in health bioinformatics and personalized medicine. His research focuses on utilizing computational tools like machine learning and bioinformatics to address complex problems in microbiology, genomics, and antimicrobial resistance.

Ole Lund have done research in bioinformatics and machine learning for 30 years. He has developed highly cited methods for prediction of protein structure, glycosylation, and epitopes. I have led the bioinformatics development of a method for Multilocus Sequence Typing of bacteria, that evolved into a much-used method for antimicrobial resistance analysis: ResFinder. The papers describing these methods have thousands of citations Theses and other methods developed by my group are now used by many clinical and surveillance microbiology departments in Denmark and abroad.
Ole Lund’s group has also developed methods for training statistical methods including machine learning methods on entire genomes could be used to predict the phenotype of an organism based on its genomic sequence and have also been involved in adopting such algorithms to analyze human genomes. In his work as Chief Bioinformatics Officer at the Danish National Genome Center he has led the work on designing, standardizing, and implementing bioinformatics pipelines for clinical analysis of whole genome sequencing data. Currently he is working to develop explainable medical AI systems. His group work with Center for Surgical Science (CSS) at the University Hospital Zealand in Køge on a project to integrate phenotypic data from national population-wide registries with multi omics data generated to characterize colorectal cancer samples and ultimately predict postoperative recurrence of the disease.

Ole Lund has been appointed coordinating professor in the Technical University Hospital (TUH), which is a collaboration between DTU and RH.

Ole Lund is also part of the Inter-CeBIL Programme. In this project his group work with legal experts to ease the translation of health & life science research to viable and needed products, effective therapies, and high-quality patient care.

Professor Lund’s work also contributes to understanding genetic markers and pathogen dynamics in global health contexts. His expertise aligns with Sustainable Development Goals related to health and innovation, emphasizing practical applications for public health surveillance and disease management.