Patrick Müller is Professor of Developmental Biology at the University of Konstanz and Affiliate Member of the Excellence Centre for the Advanced Study of Collective Behaviour.
After doctoral and postdoctoral work at the MPI for Biophysical Chemistry and Harvard University, he worked as Professor and Max Planck Research Group Leader in Tübingen. His research group uses a systems biology approach to understand self-organizing processes during development and disease. Research in his lab is funded by the ERC Consolidator Grant ACE-OF-SPACE
Previous positions and training
2019 - 2021: Full Professor at the University of Tübingen
2014 - 2021: Max Planck Research Group Leader at the Friedrich Miescher Laboratory of the Max Planck Society in Tübingen
2013 - 2014: Emmy-Noether Research Group Leader at the MPI for Developmental Biology in Tübingen
2007 - 2013: Postdoctoral Fellow and Research Associate at Harvard University
2004 - 2007: PhD at the MPI for Biophysical Chemistry in Göttingen
1999 – 2004: Studies at the Georg August University Göttingen, University of California at Berkeley, and Rockefeller University
2020: ERC Consolidator Grant
2018: EMBO Young Investigator Award
2015: ERC Starting Grant
2013: HFSP Career Development Award
2013: Emmy Noether Award of the German Research Foundation (DFG)
2008: HFSP long-term postdoctoral fellowship
2008: Otto Hahn Medal of the Max Planck Society
2007: EMBO long-term postdoctoral fellowship
2003: Fellow of the Studienstiftung des Deutschen Volkes
Commisions of trust
Regular reviewer for more than 30 journals including Nature, Science, Cell, Development, Nature Communications, eLife, Developmental Cell, Cell Reports, Nature Cell Biology, Current Biology, Advanced Biosystems, Developmental Biology, Nature Physics, PLoS Biology, Acta Biotheoretica, Aquaculture, Briefings in Functional Genomics, Cell Systems, Journal of Biological Physics, PLoS Computational Biology, Physica D: Nonlinear Phenomena, The FEBS Journal, Biochimica et Biophysica Acta (BBA) – Proteins and Proteomics, Biology Open, Communicative & Integrative Biology, Computer Methods in Biomechanics and Biomedical Engineering, Journal of Experimental Zoology Part B: Molecular and Developmental Evolution, Molecular and Cellular Endocrinology, Nature Reviews Genetics, Science Advances, Science Signaling, Scientific Reports
Wellcome Trust, Swiss National Science Foundation (SNSF), Deutsche Forschungsgemeinschaft (DFG), Austrian Science Fund (FWF), Research Grants Council of Hong Kong, Austrian Academy of Sciences (ÖAW), DAAD, EMBO, Israel Science Foundation (ISF), French National Research Agency (ANR)
Since 2022: Member of the Animal Welfare Committee at the University of Konstanz
Since 2019: Advisory Board Member of the journal Development
Since 2016: Faculty Member of F1000 Prime, Pattern Formation Section
Since 2015: Selection Committee Member of the Studienstiftung des deutschen Volkes
Čapek D, Safroshkin M, Morales-Navarrete H, Toulany N, Arutyunuv G, Kurzbach A, Bihler J, Hagauer J, Kick S, Jones F, Jordan B, Müller P (2023). EmbryoNet: Using deep learning to link embryonic phenotypes to signaling pathways. Nature Methods, DOI: 10.1038/s41592-023-01873-4.
Kuhn T, Landge AN, Mörsdorf D, Coßmann J, Gerstenecker J, Čapek D, Müller P, Gebhardt JCM (2022). Single-molecule tracking of Nodal and Lefty in live zebrafish embryos supports hindered diffusion model. Nature Communications, 13:6101.
Preiß H, Kögler AC, Mörsdorf D, Čapek D, Soh GH, Rogers KW, Morales-Navarrete H, Almuedo-Castillo M, Müller P (2022). Regulation of Nodal signaling propagation by receptor interactions and positive feedback. eLife, 11:e66397.
Čapek D, Ünalan M, Müller P (2021). Wie Tiere sich selbst konstruieren. BIOspektrum, 27:473-477.
Rogers KW, ElGamacy M, Jordan BM, Müller P (2020). Optogenetic investigation of BMP target gene expression diversity. eLife, 9:e58641.
Soh GH, Pomreinke AP, Müller P (2020). Integration of Nodal and BMP signaling by mutual signaling effector antagonism. Cell Reports, 31:107487
Landge AN, Jordan BM, Diego X, Müller P (2020). Pattern formation mechanisms of self-organizing reaction-diffusion systems. Developmental Biology 460:2-11.
Mörsdorf D, Müller P (2019). Tuning protein diffusivity with membrane tethers. Biochemistry, 58:177-181.
Almuedo-Castillo M, Bläßle A, Mörsdorf D, Marcon L, Soh GH, Rogers KW, Schier AF, Müller P (2018). Scale-invariant patterning by size-dependent inhibition of Nodal signalling. Nature Cell Biology, 20:1032-1042.
Bläßle A, Soh G, Braun T, Mörsdorf D, Preiß H, Jordan BM, Müller P (2018). Quantitative diffusion measurements using the open-source software PyFRAP. Nature Communications, 9:1582.
Pomreinke AP, Soh GH, Rogers KW, Bergmann JK, Bläßle AJ, Müller P (2017). Dynamics of BMP signaling and distribution during zebrafish dorsal-ventral patterning. eLife, 6:e25861.
Marcon L, Diego X, Sharpe J, Müller P (2016). High-throughput mathematical analysis identifies Turing networks for patterning with equally diffusing signals. eLife, 5:e14022.