I have the enormous privilege to work at the only institution on earth with a working rover on another planet: NASA's Jet Propulsion Laboratory in Pasadena.
I am intrigued by making sense out of vast amounts of data and the best way to do that is machine learning. Hence my research focuses on developing new statistical learning algorithms and on their application in computer vision, computational pathology and robotics. As a research scientist in JPL's robotics group I naturally hope that these techniques will make the next generation of autonomous spacecrafts even smarter and their scientific insights even more thrilling.

Ph.D. in Computer Science
ETH Zurich, Switzerland, 2010

M.S. in Technical Mathematics
TU Graz, Austria, 2005

List of publications: Google Scholar profile

Projects, Patents, etc.: Caltech Page

Current research interests include the following:

• Machine learning for space exploration
• Ensemble methods for classification and regression
• Approximate Bayesian computation for likelihood-free inference
• Computational Pathology and survival statistics
• Object detection and categorization