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So far I've been a mathematician turned physicist turned computer scientist turned mathematician again. I am finishing a PhD at Columbia in Machine Learning that hopefully shows that group theory and representation theory can really be useful for solving real world learning and estimation problems on computers. I am also looking into integrating machine learning models into GCMs (general circulation models) that are used to predict the Earth's climate. In general, I am interested in the interplay between modern statistical methods (such as machine learning) and the natural sciences.
 

Latest revision as of 17:09, 4 May 2007