Research Statement
Robot learning unites the two fields of machine learning and robotics. Research in robot learning should lead to results that improve autonomous robots and the way they perceive the world, but it may also give insights on how humans learn and operate. In my research I try to develop new learning algorithms that help advance the understanding of both, while incorporating observations of biological life forms.

Current Position
Ph.D. student at the IAS lab at TU Darmstadt
Topic: Hierarchical Relative Entropy Policy Search
Supervisor: Prof. Jan Peters
FB 20 : Informatik

Educational Background
2012-nowPh.D. student
 supervised by Prof. Jan Peters
 IAS lab, TU Darmstadt
20011-2012Master thesis
 supervised by Prof. Jan Peters
 IAS lab, TU Darmstadt
2010-2011Master student
 TU Darmstadt, Germany
2009-2010Master student
 Ecole Polytechnique Fédérale de Lausanne, Switzerland
2009Bachelor Thesis
 Thesis Title: On the Acceleration of CFD using GPUs
 Supervisors: A. Binotto, Prof. M. Schaefer
 Publication: Iterative SLE Solvers Over a CPU-GPU Platform
2006-2009Bachelor student
 TU Darmstadt, Germany
Internships and work positions
2011Fraunhofer Institute for Graphical Data Processing, Germany
 Assisting in the development of a realtime computational fluid dynamics system.
 Supervisor: Daniel Weber 
2010LASA lab, EPFL, Switzerland
 Research assistant
 Supervisors: Daniel Grollman, Prof. Aude Billard
References, etc.
References are available upon request.


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