I am a researcher in the Machine Learning and Perception group in Microsoft Research Cambridge UK since 2009. I got my Ph.D from the Hebrew University, Jerusalem Israel in 2008. My research area is artificial intelligence (AI), focusing on machine learning and computational game theory. Publications Yoad Lewenberg, Yoram Bachrach, and Svitlana Volkova, Using Emotions to Predict User Interest Areas in Online Social Networks, in DSAA (Data Science and Advanced Anayltics), ACM – Association for Computing Machinery, October 2015. Yoram Bachrach and Ely Porat, Fingerprints for Highly Similar Streams, in Information and Computation, Elsevier, October 2015. Yoram Bachrach, Human Judgments In Hiring Decisions Based On Online Social Network Profiles, in DSAA (Data Science and Advanced Analytics), ACM – Association for Computing Machinery, October 2015. Daniel Preotiuc-Pietro, Svitlana Volkova, Vasileios Lampos, Yoram Bachrach, and Nikolaos Aletras, Studying User Income through Language, Behaviour and Affect in Social Media, in PLOS One, PLOS – Public Library of Science, September 2015. Yair Zick, Yoram Bachrach, Ian A. Kash, and Peter Key, Non-Myopic Negotiators See What’s Best, in IJCAI, August 2015. Yoad Lewenberg, Yoram Bachrach, Yonatan Sompolinsky, Aviv Zohar, and Jeffrey S. Rosenschein, Bitcoin Mining Pools: A Cooperative Game Theoretic Analysis, in AAMAS, May 2015. Svitlana Volkova, Yoram Bachrach, Michael Armstrong, and Vijay Sharma, Inferring Latent User Properties from Texts Published in Social Media, in AAAI, AAAI - Association for the Advancement of Artificial Intelligence, January 2015. Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, and Ulrich Paquet, Speeding Up the Xbox Recommender System Using a Euclidean Transformation for Inner-Product Spaces, October 2014. Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter Key, and David Kurokawa, Optimising Trade-offs Among Stakeholders in Ad Auctions, in EC'14, 15th ACM Conference on Economics and Computation, Stanford, CA, USA, ACM, June 2014.