Massimo Fornasier

Prof. Massimo Fornasier holds the Chair of Applied Numerical Analysis at the Technical University of Munich (TUM), within the School of Computation, Information and Technology and the Department of Mathematics. His research focuses on mathematical modeling, numerical analysis, and data-driven methods, particularly in areas like compression, sparse recovery, and optimization. He has made significant contributions to consensus-based optimization, control of multiagent systems, and applications in image/signal processing.

• Education:
  • PhD in Computational Mathematics, University of Padua (2003)
  • Postdoctoral fellowships at University of Vienna, Sapienza University of Rome, and Princeton University
• Awards:
  • ERC Starting Grant (2012)
  • START Prize (2011)
  • Prix de Boelpaepe (2009)

His work bridges theoretical analysis and computational methods, with applications ranging from compressive sensing to machine learning. Recent research emphasizes consensus-based optimization frameworks and their global convergence properties.

Editorial roles include journals like Networks and Heterogeneous Media and Calcolo. He leads research groups in areas such as Data Science and Numerical Analysis at TUM.