Guy Lebanon is a senior manager at LinkedIn, where he leads the feed infrastructure and relevance team. Prior to that he was an advisor to an SVP and a senior manager at Amazon, leading the machine learning science team at Amazon's main campus in Seattle WA. Prior to that Guy was a tenured professor at the Georgia Institute of Technology and a scientist at Google. His main research areas are machine learning and data science. Guy received his PhD from Carnegie Mellon University and BA, and MS degrees from Technion - Israel Institute of Technology. Dr. Lebanon has authored over 60 refereed publications. He was the program chair of the 2012 ACM CIKM Conference, the conference chair of AI & Statistics and is an action editor of Journal of Machine Learning Research. He received the NSF CAREER Award, the WWW best student paper award, the ICML best paper runner-up award, the Yahoo Faculty Research and Engagement Award, and is a Siebel Scholar.

Senior Manager and Head of Feed Infrastructure and Relevance Team @ I am leading a team of engineers and scientists working on developing the infrastructure and the machine learning algorithms that power feed personalization at LinkedIn. From 2015 to Present (less than a year) Senior Manager and Advisor to SVP @ I was advising the Senior VP in charge of marketplace and consumer services and leading several teams of machine learning scientists and engineers at Amazon. My teams worked on a number of machine learning and data science applications in e-commerce, cloud computing, streaming video, and digital devices including Kindle. 2014-2015: advisor to SVP 2013-2015: senior manager, machine learning science From 2013 to 2015 (2 years) Visiting Scientist @ While on sabbatical leave at Georgia Tech, I worked at Google Research on developing new methods for recommendation systems and for clustering of text documents (C++, R). From 2012 to 2013 (1 year) Associate Professor (with tenure) @ I worked on a number of innovative machine learning projects including recommendation systems / collaborative filtering, graphical models, natural language processing, and data-mining in social media (C++, R). I led a research team of approximately 6 graduate research assistants and a postdoc. Associate director of FODAVA: 2011-2012 Associate Professor (with tenure): 2011-2012 Assistant Professor: 2008-2011 From 2008 to 2012 (4 years) Assistant Professor @ I worked on a number of innovative machine learning projects including machine learning for natural language processing, approximate learning in graphical models, and statistical models for ranked data (C++, Matlab). I led a research team of approximately 4 graduate research assistants. From 2005 to 2008 (3 years) Postdoctoral Researcher and Research Assistant @ 2005-2005: Postdoctoral Researcher. I worked on developing machine learning methods for natural language and ranking problems (C++, Matlab). 2000-2005: Research Assistant. I worked on developing machine learning methods that use Riemannian geometry and on ranking problems (C++, Matlab). From 2000 to 2005 (5 years) Programmer and Research Assistant @ 1999-2000: Research assistant. I developed novel methods for optimally synthesizing moire patterns in image processing (Matlab, C). 1998-1999: Programmer. I worked on developing and implementing a computer vision system for the Technion's satellite (C). From 1998 to 2000 (2 years) Programmer @ I worked on implementing automatic target recognition methods in the computer vision group (C, Matlab). From 1997 to 1998 (1 year)

PhD, School of Computer Science @ Carnegie Mellon University From 2000 to 2005 MS, School of Computer Science @ Carnegie Mellon University From 2000 to 2002 MS, Department of Computer Science @ Technion-Machon Technologi Le' Israel From 1999 to 2000 BA, Department of Computer Science, Summa Cum Laude @ Technion-Machon Technologi Le' Israel From 1996 to 1999 Guy Lebanon is skilled in: Machine Learning, Data Mining, Statistical Computing, Information Visualization, Algorithms, Computer Science, Pattern Recognition, Artificial Intelligence, R, Python, LaTeX, Matlab, Hadoop, C++, Statistical Modeling