Leon Bichmann, PhD
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Associate Research ScientistDownloadHi-Res Photo
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Associate Research Scientist
Biography
Leon transitioned across disciplines from chemistry & biochemistry through bioengineering into computer science. His PhD work focused on the development of computational data analysis approaches to address immunological questions regarding the diversity of immune responses across the population and the development of therapeutic vaccines. This brought him to work for 2 years at the vaccine biotechnology company BioNTech where he was involved in the design of novel classes of RNA vaccines. With the establishment of the Center for Systems and Engineering Immunology at Yale, he was offered a new challenge to join the TsangLab at Yale to work on ground breaking research in this area.
Last Updated on November 26, 2023.
Education & Training
- PhD
- Eberhard-Karls University Tübingen, Computer Science & Immunology (2021)
- Non Degree Program
- University of Toronto (2019)
- MSc
- Technical University Dresden, Molecular Bioengineering (2015)
- Non Degree Program
- University of California San Francisco (2015)
- BSc
- Ludwig-Maximilians University, Chemistry & Biochemistry (2013)
- Non Degree Program
- National Yang-Ming University, Taipei (2012)
Research
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Overview
Public Health Interests
Bioinformatics; Biomarkers; Immunology; Vaccines
ORCID
0000-0001-7135-0073- View Lab Website
Center for Systems and Engineering Immunology
Research at a Glance
Yale Co-Authors
Frequent collaborators of Leon Bichmann's published research.
Publications Timeline
A big-picture view of Leon Bichmann's research output by year.
Etienne Caron, PhD
21Publications
1,132Citations
Publications
2026
Extensive peripheral immunoglobulin repertoire analyses in people with multiple sclerosis reveal disease-specific signatures and distinct treatment effects of disease modifying drugs
Vasilenko N, Ruschil C, Stadelmaier J, Tieck M, Schembecker S, Owens G, Bennett J, Berthele A, Ziemann U, Poli S, Snaidero N, Nahnsen S, Jarboui M, Bichmann L, Gabernet G, Kowarik M. Extensive peripheral immunoglobulin repertoire analyses in people with multiple sclerosis reveal disease-specific signatures and distinct treatment effects of disease modifying drugs. Journal Of Neuroinflammation 2026, 23: 128. PMID: 41981407, PMCID: PMC13088472, DOI: 10.1186/s12974-026-03735-0.Peer-Reviewed Original ResearchAltmetric
2025
MHCquant2 refines immunopeptidomics tumor antigen discovery
Scheid J, Lemke S, Hoenisch-Gravel N, Dengler A, Sachsenberg T, Declerq A, Gabriels R, Bauer J, Wacker M, Bichmann L, Martens L, Dubbelaar M, Nahnsen S, Walz J. MHCquant2 refines immunopeptidomics tumor antigen discovery. Genome Biology 2025, 26: 290. PMID: 40983925, PMCID: PMC12455830, DOI: 10.1186/s13059-025-03763-8.Peer-Reviewed Original ResearchCitationsAltmetricHLA Ligand Atlas DIA: extending the benign immunopeptidomics resource with increased sensitivity through data-independent acquisition mass spectrometry
Bichmann L, Marcu A, Kowalewski D, Freudenmann L, Backert L, Mühlenbruch L, Lübke M, Wagner P, Engler T, Matovina S, Hauri-Hohl M, Martin R, Moch H, Regli L, Weller M, Löffler M, Walz J, Kohlbacher O, Röst H, Rammensee H, Neidert M. HLA Ligand Atlas DIA: extending the benign immunopeptidomics resource with increased sensitivity through data-independent acquisition mass spectrometry. Journal For ImmunoTherapy Of Cancer 2025, 13: e012083. PMID: 40887106, PMCID: PMC12406853, DOI: 10.1136/jitc-2025-012083.Peer-Reviewed Original ResearchAltmetricThe immunopeptidomic landscape of ependymomas provides actionable antigens for T-cell-based immunotherapy
Mühlenbruch L, Rieger D, Becker H, Santos Leite A, Mäurer I, Schittenhelm J, Dubbelaar M, Bichmann L, Kohlbacher O, Rammensee H, Gouttefangeas C, Tatagiba M, Walz J, Tabatabai G. The immunopeptidomic landscape of ependymomas provides actionable antigens for T-cell-based immunotherapy. Neuro-Oncology Advances 2025, 7: vdae226. PMID: 40376681, PMCID: PMC12080555, DOI: 10.1093/noajnl/vdae226.Peer-Reviewed Original ResearchCitationsAltmetric
2024
Data-Independent Acquisition Peptidomics
Bichmann L, Gupta S, Röst H. Data-Independent Acquisition Peptidomics. Methods In Molecular Biology 2024, 2758: 77-88. PMID: 38549009, DOI: 10.1007/978-1-0716-3646-6_4.ChaptersCitationsAltmetricOpenMS 3 enables reproducible analysis of large-scale mass spectrometry data
Pfeuffer J, Bielow C, Wein S, Jeong K, Netz E, Walter A, Alka O, Nilse L, Colaianni P, McCloskey D, Kim J, Rosenberger G, Bichmann L, Walzer M, Veit J, Boudaud B, Bernt M, Patikas N, Pilz M, Startek M, Kutuzova S, Heumos L, Charkow J, Sing J, Feroz A, Siraj A, Weisser H, Dijkstra T, Perez-Riverol Y, Röst H, Kohlbacher O, Sachsenberg T. OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data. Nature Methods 2024, 21: 365-367. PMID: 38366242, DOI: 10.1038/s41592-024-02197-7.Commentaries, Editorials and LettersCitationsAltmetricMeSH Keywords
2023
The HLA ligandome of oropharyngeal squamous cell carcinomas reveals shared tumour-exclusive peptides for semi-personalised vaccination
Mühlenbruch L, Abou-Kors T, Dubbelaar M, Bichmann L, Kohlbacher O, Bens M, Thomas J, Ezić J, Kraus J, Kestler H, von Witzleben A, Mytilineos J, Fürst D, Engelhardt D, Doescher J, Greve J, Schuler P, Theodoraki M, Brunner C, Hoffmann T, Rammensee H, Walz J, Laban S. The HLA ligandome of oropharyngeal squamous cell carcinomas reveals shared tumour-exclusive peptides for semi-personalised vaccination. British Journal Of Cancer 2023, 128: 1777-1787. PMID: 36823366, PMCID: PMC9949688, DOI: 10.1038/s41416-023-02197-y.Peer-Reviewed Original ResearchCitationsAltmetric
2022
Understanding the constitutive presentation of MHC class I immunopeptidomes in primary tissues
Kubiniok P, Marcu A, Bichmann L, Kuchenbecker L, Schuster H, Hamelin D, Duquette J, Kovalchik K, Wessling L, Kohlbacher O, Rammensee H, Neidert M, Sirois I, Caron E. Understanding the constitutive presentation of MHC class I immunopeptidomes in primary tissues. IScience 2022, 25: 103768. PMID: 35141507, PMCID: PMC8810409, DOI: 10.1016/j.isci.2022.103768.Peer-Reviewed Original ResearchCitationsAltmetric
2021
DIAproteomics: A Multifunctional Data Analysis Pipeline for Data-Independent Acquisition Proteomics and Peptidomics
Bichmann L, Gupta S, Rosenberger G, Kuchenbecker L, Sachsenberg T, Ewels P, Alka O, Pfeuffer J, Kohlbacher O, Röst H. DIAproteomics: A Multifunctional Data Analysis Pipeline for Data-Independent Acquisition Proteomics and Peptidomics. Journal Of Proteome Research 2021, 20: 3758-3766. PMID: 34153189, DOI: 10.1021/acs.jproteome.1c00123.Peer-Reviewed Original ResearchCitationsAltmetricUniversal Spectrum Explorer: A Standalone (Web-)Application for Cross-Resource Spectrum Comparison
Schmidt T, Samaras P, Dorfer V, Panse C, Kockmann T, Bichmann L, van Puyvelde B, Perez-Riverol Y, Deutsch E, Kuster B, Wilhelm M. Universal Spectrum Explorer: A Standalone (Web-)Application for Cross-Resource Spectrum Comparison. Journal Of Proteome Research 2021, 20: 3388-3394. PMID: 33970638, DOI: 10.1021/acs.jproteome.1c00096.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords
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