Tony Jebara - - Resume

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			Tony Jebara is Associate Professor of Computer Science at Columbia University. He directs the Columbia Machine Learning Laboratory whose research intersects computer science and statistics to develop new frameworks for learning from data with applications in vision, networks, spatio-temporal data, and text. Jebara has founded and advised several startups including Sense Networks and Bookt. He has published over 100 peer-reviewed papers in conferences and journals including NIPS, ICML, UAI, COLT, JMLR, CVPR, ICCV, and AISTAT. He is the author of the book Machine Learning: Discriminative and Generative and co-inventor on multiple patents in vision, learning and spatio-temporal modeling. In 2004, Jebara was the recipient of the Career award from the National Science Foundation. His work was recognized with a best paper award at the 26th International Conference on Machine Learning, a best student paper award at the 20th International Conference on Machine Learning as well as an outstanding contribution award from the Pattern Recognition Society in 2001. Jebara's research has been featured on television (ABC, BBC, New York One, TechTV, etc.) as well as in the popular press (New York Times, Slash Dot, Wired, Businessweek, IEEE Spectrum, etc.). He obtained his PhD in 2002 from MIT. Esquire magazine named him one of their Best and Brightest of 2008. Tony is Associate Editor for the Journal of Machine Learning Research and Associate Editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence. He is currently on the Editorial Board of the journal Machine Learning (having served as Associate Editor from 2007-2011). In 2006, he co-founded the NYAS Machine Learning Symposium and has served on its steering committee since then. Curriculum Vitae (PDF) Awards: Best Paper Award, Intl. Conf. on Machine Learning, 2009 Esquire Magazine's Best and Brightest, 2008 KDD Challenge ER1B Best Performer, 2005 National Science Foundation Career Award, 2004 Best Student Paper Award, Intl. Conf. on Machine Learning, 2003 Pattern Recognition Society, Outstanding Contribution, 2001 Citation counts via Google Scholar.