Martin Kleinsteuber received his PhD in Mathematics from the University of Würzburg, Germany, in 2006.

After post-doc positions at National ICT Australia Ltd, the Australian National University, Canberra, Australia, and the University of Würzburg, he has been appointed assistant professor for geometric optimization and machine learning at the Department of Electrical Engineering and Information Technology, TU München, Germany, in 2009.

He won the SIAM student paper prize in 2004 and the Robert-Sauer-Award of the Bavarian Academy of Science in 2008 for his works on Jacobi-type methods on Lie algebras.

His research focusses on latent variable analysis and feature extraction, in particular robust dimensionality reduction techniques and sparse representations together with their applications to audio- and image processing.