Organizing Committee


Organizers with Cosmology background:

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Sarah Bridle is a Royal Society University Research Fellow and Reader at University College London. She obtained her PhD in 2000 from the University of Cambridge. Her research focuses on understanding the cosmological model using gravitational lensing, the tiny distortions of distant galaxies induced by the bending of light by dark matter. She led the GREAT08 Challenge which posed the gravitational shear measurement problem to computer scientists.

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Phil Marshall studied physics at the University of Cambridge, UK where he also obtained his PhD in Astrophysics in 2003. Subsequently he worked as a postdoctoral researcher at Stanford University and the University of Santa Barbara. Since 2010 he has been a Royal Society University Research Fellow at the Department of Physics at Oxford University. His main research interest is observational cosmology using gravitational lensing, i.e. finding new examples of multiple imaging in wide field imaging surveys, weighing galaxies by lens modelling, and using lenses to measure the expansion rate of the Universe.


Organizers with Machine Learning background:

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Michael Hirsch studied physics and mathematics at the University of Erlangen and at Imperial College London. He received a Diploma in theoretical physics in 2007, before joining the Department of Empirical Inference of Prof. Dr. Bernhard Schölkopf at the Max Planck Institute for Intelligent Systems (formerly MPI for Biological Cybernetics). Since 2011 he has worked as a post-doctoral researcher at the interplay of machine learning and cosmology at University College London. His research interests cover a wide range of signal and image processing problems in scientific imaging, as well as computational photography.


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Stefan Harmeling is a Senior Research Scientist at the Max Planck Institute for Intelligent Systems (formerly MPI for Biological Cybernetics) in Prof Bernhard Schölkopf's department of Empirical Inference. His interests include machine learning, image processing, probabilistic and causal inference, and general computer science. Dr Harmeling studied mathematics and logic at the University of Münster (Dipl Math 1998) and computer science with an emphasis on artificial intelligence at Stanford University (MSc 2000). During his doctoral studies he was a member of Prof Klaus-Robert Müller's research group at the Fraunhofer Institute FIRST (Dr rer nat, 2004). Thereafter he was a Marie Curie Fellow at the University of Edinburgh from 2005 to 2007, before joining the Max Planck Institute for Intelligent Systems.
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Mark Girolami holds a professorial Chair of Statistics in the Department of Statistical Science, UCL and is Director of the Centre for Computational Statistics and Machine Learning at UCL. He is an Adjunct Professor in the Department of Computer Science, UCL. Prior to joining UCL Mark held a Chair in Computing and Inferential Science at the University of Glasgow.


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Bernhard Schölkopf received an M.Sc. in mathematics and the Lionel Cooper Memorial Prize from the University of London in 1992, followed in 1994 by the Diplom in physics from the Eberhard-Karls-Universität, Tübingen. Three years later, he obtained a doctorate in computer science from the Technical University Berlin. He has researched at AT&T Bell Labs, at GMD FIRST, Berlin, at the Australian National University, Canberra, and at Microsoft Research Cambridge (UK). He has taught at Humboldt University, Technical University Berlin, and Eberhard-Karls-University Tübingen. In July 2001, he was appointed scientific member of the Max Planck Society and director at the MPI for Biological Cybernetics; in 2010 he founded the Max Planck Institute for Intelligent Systems. The ISI lists him as a highly cited researcher. He is on the boards of the NIPS foundation and of the International Machine Learning Society.