Research Statement
Current Position
Research Scientist, Max Planck Institute for Biological Cybernetics, Tübingen
Dept.: Empirical Inference and Machine Learning (Bernhard Schölkopf)
Educational Background | |||
---|---|---|---|
2007-10 | Ph.D. | ||
supervised by Prof. David J.C. MacKay | |||
Cavendish Laboratory, University of Cambridge, UK | |||
Thesis Title: Approximate Inference in Graphical Models | |||
2006-07 | Diplom Thesis | ||
supervised by Prof. Winfried Denk | |||
Max Planck Institute for Medical Research, Heidelberg, Germany | |||
Thesis Title: Point Spread Functions for Backscattered Imaging in the Scanning Electron Microscope | |||
2004-05 | Exchange year | ||
Imperial College, London. | |||
Participation in the M.Sc. course "Quantum Fields and Fundamental Forces (passed all necessary examinations with a GPA of 75%, but exchange students can not be awarded degrees). | |||
2001-07 | Diplom degree in Physics | ||
University of Heidelberg, Germany | |||
Work Experience | |||
2009/10 | Microsoft Research, Cambridge | ||
Freelance Consultant | |||
2008 | Microsoft Research, Cambridge | ||
Internship | |||
2007 | McKinsey & Company | ||
Summer Associate | |||
Awards and Honors | |||
2007-10 | Microsoft Research PhD Scholarship | ||
2007 | Honorary Scholar of the Cambridge European Society | ||
2005 | Lindau Nobel Meetings - Travel Stipend | ||
Reviewing | |||
2011 | Knowledge Discovery and Data Mining (Springer Journal) | ||
The Snowbird Conference | |||
2010 | International Conference on Machine Learning | ||
2009 | International Conference on Learning Theory | ||
References, etc. | |||
References are available upon request. |