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Martin Slawski
PhD Student |
I graduated in
Statistics at Ludwig-Maximilians-Universitaet Muenchen before joining
the Machine Learning Group at Saarland University. My present
research focus is sparse recovery and compressed sensing for positive
signals, driven by a cooperation with the local
Computational Proteomics Group. During this project, we have developed approaches for the
automatic deconvolution of isotopic patterns in mass
spectrometry. The key ingredients of the ongoing theoretical analysis
are elements of convex geometry and random matrix theory.
