Dr. Magnus Palmblad

RESEARCH

My primary research topic is computational proteomics – ranging from experimental design to automation of and machine learning from mass spectrometry data. We pioneered the machine learning and use of predictions of peptide chromatographic behavior and isotopic distributions in proteomics - principles that are now widely incorporated in software used routinely in the field. Other ongoing work include bridging the gaps between human and model system proteomics and contextualizing omics data using a combination of text mining and computational chemistry.

Our team support collaborators at the LUMC and beyond in designing experiments and supervising staff and students, promoting robust, reusable and scalable data analysis pipelines. I play a leading role in European bioinformatics networks (ELIXIR, EuBIC), ASMS and ABRF, working to improve reproducibility of biomedical research and train the next generation of scientists in mass spectrometry, proteomics and data integration. In additional to teaching at the LUMC and within the Medical Genetics framework, I also organize international workshops on applications of machine learning in proteomics, including Lorentz Center Workshops in 2020 and 2022, and Dagstuhl Computational Proteomics Seminars 2021 and 2023.

CURRICULUM VITAE

Scientific Career History

2013 – present Associate Professor, CPM, LUMC

2007 – 2013 Assistant Professor, Biomolecular Mass Spectrometry Unit, LUMC

2005 – 2007 Senior Research Fellow, The BioCentre, The University of Reading, UK

2002 – 2005 Postdoctoral Research Associate, Center for Accelerator Mass Spectrometry, Lawrence Livermore National Laboratory, Livermore, CA, USA

1998 – 2002 Ph.D., Division of Ion Physics, Uppsala University, Uppsala, Sweden

1995 – 1996 Studies in Computer Science and Mathematics, University of Maryland College Park, MD, USA

1992 – 1998 M.Sc. Molecular Biotechnology, Uppsala University, Uppsala, Sweden

Awards and selected functions

2021 – present Topic Editor Computational Proteomics, Journal of Proteome Research

2020 – Lorentz Center Workshop on Automatic Workflow Composition in the Life Sciences, organizer

2019 – 2022 ABRF Executive Board, member, Research Group Czar

2019 & 2021 Guest Editor for Journal of Proteome Research Special Issues on Proteomics Software Tools

2018 & 2019 ASMS Mass Spectrometry Software Workshop, organizer

2017 – 2019 ASMS and HUPO Bioinformatics Hubs, organizer

2016 – present HUPO Mass Spectrometry Pillar, member

2013 – 2019 ABRF Proteome Informatics Research Group (iPRG), member/chair

2009 – 2021 Associate Editor/Senior Board Member, BMC Bioinformatics