Urs has over 9 years of research experience in machine learning, spanning areas from computer vision and image processing to large scale neural data analysis. His data science experience ranges from working with national laboratories in applying deep learning to understand climate change, to helping customers solve challenging computer vision problems in medical imaging. Urs works on making the fastest implementations of convolutional and recurrent networks. For his postdoc at UC Berkeley, he used unsupervised machine learning algorithms such as Restricted Boltzmann Machines to understand the visual system.
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