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Prof. Dr. Christof Schütte

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Zuse Institute Berlin
Modeling and Simulation of Complex Processes

Takustraße 7, D-14195 Berlin

Prof. Dr. Christof Schütte

Prof. Dr. Christof Schütte

Fellow | BIFOLD

Full Professor for Mathematics and Scientific Computing | Freie Universität Berlin

Co-Chair | Cluster of Excellence MATH+

President | Zuse Institute Berlin

Chair | Research Campus MODAL

Higher education and degrees

1999: Habilitation in Mathematics, Freie Universität Berlin
 

1994: Ph.D. in Mathematics, Freie Universität Berlin
 

1991: Diplom in Physics, University of Paderborn
 

1986-1991: Undergraduate studies in Phyics, Mathematics and Computer Science, University of Paderborn
 

Academic appointments / positions held

since 2021: Chair, MATH+ Board
 

2018-2020: Co-Chair, MATH+ Board
 

since 2016: Co-Chair, Einstein Center for Mathematics
 

since 2015: President of Zuse Institute Berlin (ZIB),
Head of Division "Mathematics for Life and Materials Sciences" at ZIB
 

since 2015: Coordinator Forschungscampus Modal
 

2013-2015: Vice-President of Zuse Institute Berlin (ZIB),
Head of Division "Mathematics for Life and Materials Sciences" at ZIB
 

since 2012: Full Professor for "Scientific Computing", FUB (succession P. Deuflhard)
 

2009-2013: Coordinator EU Initial Training Network "Nanopoly"
 

since 2008: Co-Chair, DFG Research Center MATHEON
 

2009-2013: Research Dean, Department of Mathematics & Computer Science, FUB
 

2006-2010: Co-Chair, Berlin Mathematical School (BMS)
 

2000-2008: Dean of Bioinformatics, FUB
 

2000-2012: Full Professor for "Numerical Analysis & Modelling", FUB
 

since 2000: Head of Biocomputing Group at Institute of Mathematics, FUB
 

1998-1999: Head of the Department "Numerical Analysis & Modelling", ZIB
 

1994-1998: Research Assistant, Institute of Mathematics, FUB
 

1992-1994: Research Scientist, ZIB

1991-1992 Studienstiftung des deutschen Volkes, Award for Study Achievements

  • Modeling
  • Simulation and Optimization
  • Model-informed Machine Learning
  • Uncertainty Quantification for Big Data
  • Bayesian Inverse Problems
  • Scientific Computing and HPC

  • SIAM
  • DMV
  • AMS
  • GAMM