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Jimi has spent the last 20 years developing and researching cutting-edge information management systems to harness information retrieval, linguistics and machine learning. During the summer of 2007, he started a boutique consultancy, Church and Duncan Group Inc. (CaDGi), in San Francisco. CaDGi’s major goal is to help companies leverage their vast repositories of data using statistics, machine learning, optimization theory and data mining for applications in areas such as web search, and online advertising. Church and Duncan Group’s clients include AT&T Interactive, Digg.com, eBay, SearchMe.com, Ancestry.com, MyOfferPal.com, and SkyGrid.com. In addition, since January 2008, Jimi is affiliated with the University of California at Santa Cruz. He advises several high-tech startups in the Silicon Valley Area and is an executive in residence Irish Innovation Center in San Jose.
Prior to starting Church and Duncan Group Inc., Jimi was Chief Scientist and executive team member at Turn Inc. (an online ad network and demand side platform). Prior to joining Turn, Jimi was Principal Research Scientist at Clairvoyance Corporation where he led the “Knowledge Discovery from Text” Group. Before that he was a Research Scientist at Xerox Research Center Europe (XRCE). In the early 90s, he worked on the AI Team within the Mitsubishi Group in Tokyo.
He has published six books, over 50 research publications, and 15 patents in the areas of machine learning and information processing. Jimi was General Chair for CIKM 2008. He will co-chair the International Conference in Weblog and Social Media (ICWSM) 2011 in Barcelona. Previously he has co-organized workshops on online advertising at SIGIR and NIPS. He is a regularly invited to give talks at international conferences and universities around the world. Jimi received his Ph.D. in engineering mathematics from the University of Bristol, U. K. and holds a bachelor of science degree from the University of Limerick, Ireland. He is a EU Marie Curie fellow and member of IEEE and ACM.
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Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (2021)
CIKM '20: PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENTpp.3515-3516, (2020)
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KDDpp.2323-2324, (2015)
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