computational
modeling in
biology

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Fabian Theis

Group leader CMB
Professor for Mathematics in Systems Biology, TU Munich
Fellow at MPI for Dynamics and Self-Organization


Tel.: +49 (0) 89 3187 2211
Tel.: +49 (0) 89 3187 3581 (secretary)
Room: 129


Research

  • modeling microRNA regulation
  • biostatistics of disease models and neural data
  • community structures in transport networks
  • Bayesian methods for dynamical models
  • blind source separation with applications in functional MRI and spectral imaging

 

Recent publications

  • R.A. Neher, M. Mitkovski, F. Kirchhoff, E. Neher, F.J. Theis, and A. Zeug. Blind source separation techniques for the decomposition of multiply labeled fluorescence images. Biophysical Journal accepted, 2008.
  • D. Brockmann and F.J. Theis. Money circulation, trackable items, and the emergence of universal human mobility patterns. IEEE Pervasive Computing, 7(4):28-35, 2008.
  • B. Adamcio, D. Sargin, A. Stradomska, L. Medrihan, C. Gertler, F.J. Theis, M. Zhang, M. Müller, I. Hassouna, K. Hannke, S. Sperling, K. Radyushkin, A. El-Kordi, L. Schulze, A. Ronnenberg, F. Wolf, N. Brose, J. Rhee, W. Zhang, and H. Ehrenreich. Erythropoietin enhances hippocampal long-term potentiation and memory. BMC Biology, 6(37), 2008.
  • K. Stadlthanner, F.J. Theis, E.W. Lang, A.M. Tomé, C.G. Puntonet, and J.M. Górriz. Hybridizing sparse component analysis with genetic algorithms for microarray analysis. Neurocomputing, 71:2356-2376, 2008.
  • R. Schachtner, D. Lutter, P. Knollmüller, A.M. Tomé, F.J. Theis, G. Schmitz, M. Stetter, P. Gómez Vilda, and E.W. Lang. Knowledge-based gene expression classification via matrix factorization. Bioinformatics, 2008.
  • D. Lutter, P. Ugocsai, M. Grandl, E. Orso, F.J. Theis, E.W. Lang, and G. Schmitz. Analyzing m-csf dependent monocyte/macrophage differentiation: expression modes and meta-modes derived from an independent component analysis. BMC Bioinformatics, 9(100), 2008.
  • F.J. Theis, P. Gruber, I.R. Keck, and E.W. Lang. A robust model for spatiotemporal dependencies. Neurocomputing, 71(10-12):2209-2216, 2008.

 

Curriculum Vitae

Fabian Theis obtained MSc degrees in Mathematics and Physics at the University of Regensburg in 2000. He also received a PhD degree in Physics from the same university in 2002 and a PhD in Computer Science from the University of Granada in 2003. He worked as visiting researcher at the department of Architecture and Computer Technology (University of Granada, Spain), at the RIKEN Brain Science Institute (Wako, Japan), at FAMU-FSU (Florida State University, USA) and at TUAT's Laboratory for Signal and Image Processing (Tokyo, Japan), and headed the 'signal processing & information theory' group at the Institute of Biophysics (Regensburg, Germany). In 2006, he started working as Bernstein fellow leading a junior research group at the Bernstein Center for Computational Neuroscience, located at the Max Planck Institute for Dynamics and Self-Organisation at Göttingen. In summer 2007, Fabian Theis became working group head of CMB at the Institute of Bioinformatics at the GSF, Munich. In spring 2009, he became associate Professor for Mathematics in Systems Biology at the Math Department of the TU Munich. His research interests include gene regulation and dynamical modeling, biostatistics and network analyses, statistical signal processing and biomedical data analysis.