Director of Machine Learning, Amazon
Since November 2012, I work at Amazon as Director of Machine Learning leading Core Machine Learning worldwide with teams in Cambridge, Barcelona, Tübingen, Berlin, New York and Seattle. Until August 2013, I worked in Seattle and then in Berlin, Germany. We work in the area of Forecasting, Content Linkage (including Machine Translation), Scalable Machine Learning Services, Vision-Assisted Technologies, Human-Aware AI, Robotics and Causality.
From October 2011 to November 2012, I worked at Facebook in Palo Alto & Menlo Park leading the Unified Ranking and Allocation team. This team is focused on building horizontal large-scale machine learning infrastructure for learning user-action-rate predictors that enabled unified value experiences across the products.
From 2009 to 2011, I was Director of Microsoft’s Future Social Experiences (FUSE) Lab UK demonstrating and enabling new social experiences through development of computational intelligence technologies on large online data collections. From 2006 – 2009, together with Thore Graepel, I was leading the Applied Games and the Online Services and Advertising (OSA) research group which engaged in research at the intersection of machine learning and computer games as well as research in search and online advertising combining insights from machine learning, information retrieval, game theory, artificial intelligence and social network analysis. I joined Microsoft Research in 2000 as a Postdoctoral researcher and Research Fellow of the Darwin College Cambridge.
Prior to joining Microsoft, I worked at the Technical University Berlin as a teaching assistant where I obtained both a diploma degree in Computer Science and a Ph.D. degree in Statistics.
My research interests include Bayesian inference and decision making, computer games, kernel methods and statistical learning theory.