Dr. Lukas Käll is a Professor at the KTH Royal Institute of Technology in Stockholm, Sweden. His research focuses on developing and applying advanced statistical and computational methods to mass spectrometry-based proteomics, with the overarching goal of improving peptide and protein identification. Among his notable contributions is the development of Percolator, a widely adopted open-source tool that leverages semi-supervised machine learning to increase the accuracy of peptide-spectrum matching. Dr. Käll’s lab continues to drive innovation at the intersection of bioinformatics, data science, and protein biology, creating a suite of methods employed by proteomics researchers worldwide. An avid collaborator, he has co-authored multiple high-impact publications and regularly partners with experimental and computational groups to tackle challenges in large-scale proteomics studies.