He got his PhD at the Physics Institute of the Technical University of Denmark in August, 1995. Before that he served as Chief Bioinformatics Officer for the Danish National Genome Center from July 2019 until August 2022.

He has been working with bioinformatics and machine learning methods such as neural networks for more than 20 years. His main focus is on methods development that relates to sequence data, and has made major contributions to a large number of sequence analysis methodologies, including prediction of glycosylation, protein structure, epitopes recognized by the immune system, phylogeny, and in silico bacterial typing and pheno-typing and analysis of human genomes for clinical use. His group has further developed methods for training statistical methods including machine learning methods on entire genomes which 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.

 Bibliometric data: H-index 95. Citations: 52196. Publications: 230.

https://scholar.google.com/citations?user=N2QLafQAAAAJ&hl=en

https://orbit.dtu.dk/en/persons/ole-lund