The InferLink team has been collaborating in various capacities since the late 1990’s at respected organizations from USC’s Information Sciences Institute to Fetch Technologies. This highly cohesive group continually challenges one another to achieve the optimal outcome.
Steven Minton | President
Dr. Steven Minton launched InferLink in 2010. Prior to that, he co-founded Fetch Technologies in 2000, where his positions included serving as CTO, CEO and Chairman.
He was responsible for developing and commercializing Fetch’s core technology. Working with Robert Landes, his successor as CEO, he put together a team that ultimately delivered software and services to some of the nation’s largest enterprises. Fetch was acquired in late 2011.
Dr. Minton received his Ph.D. in Computer Science from Carnegie Mellon University in 1988. After graduating from CMU, he became a Principal Investigator at NASA’s Ames Research Center, and subsequently a Research Associate Professor at the University of Southern California’s Information Sciences Institute.
Dr. Minton has been recognized internationally for his contributions to Artificial Intelligence, and in 1998 was selected to be a fellow of the Association for the Advancement of Artificial Intelligence (AAAI). He was recently presented with AAAI’s 2012 Englemore award for his contributions to AI research and applications, and leadership in the field. His previous awards include the 2008 AAAI Classic Paper award and the 1988 Best Paper award at the National AI conference.
In additional to founding InferLink and Fetch, Dr. Minton also founded a non-profit organization, AI Access Foundation, the publisher of the Journal of Artificial Intelligence Research (JAIR), currently one of the highest-impact journals in computer science. Minton served as the first executive editor of JAIR, and continues to participate as a Managing Editor and as the Director of AI Access Foundation. He has also served as an editor of the Machine Learning Journal, and as an advisor to the Journal of Machine Learning Research (JMLR), the Computing Research Repository, and various high-tech companies. He has taught courses in AI and Machine Learning at several universities, including Stanford and Berkeley.
Greg Barish | Chief Technology Officer
Greg Barish leads all technical efforts at InferLink. Previously, he was Chief Architect at Fetch Technologies, and has also held engineering positions at Oracle and Healtheon/WebMD.
He is currently interested in the challenges of situational awareness in large scale systems, including the need to cope with the ongoing production of raw data from multiple sources, while focusing on the subsets of interest. Solutions for this require combining techniques for information extraction and enrichment, intelligent data integration, recommender systems, scalable analytical processing, and monitoring. Greg is currently exploring these challenges through the domains of cybersecurity and digital health.
Greg received a PhD in Computer Science from the University of Southern California, where he developed information gathering techniques based on speculative, dataflow-style execution. He designed algorithms for automatically incorporating speculative execution into query plan execution, leveraging a hybrid of machine learning techniques for efficient and accurate value prediction. Greg has published technical papers on these subjects in several AI conferences and journals.
Kane See | Chief Architect
Kane co-founded InferLink Corporation. He has over a decade of experience working in small and large corporations, including IBM and Fetch Technologies. He has extensive expertise in text analytics and record linkage, which are key technologies for InferLink’s EntityBase system.
Brian Amanatullah | Director of Client Solutions
Brian brings close to 10 years of experience in designing and deploying enterprise level software. Before joining InferLink, Brian worked at Boeing and Northrop Grumman where he managed the interaction between multiple teams and delivered large scale software systems to customers. He also has experience in small startup companies, developing technical solutions from the ground up.
Matthew Michelson | Chief Scientist
Matthew Michelson focuses on InferLink’s scientific endeavors, driving ideas from concept to research and then into products. His research interests include entity resolution, information extraction, information integration, and machine learning.
Dr. Michelson has published numerous peer-reviewed publications in the top national and international artificial intelligence conferences and the high-impact artificial intelligence journals. His research works include extracting and normalizing information from very noisy sources such as classified ads, using machine learning to dramatically increase the scalability of matching records across data sources, modeling user interests in social media, and automatically harvesting geographic maps from the Web.
Before InferLink, he developed quantitative models for FirstQuadrant, an investment company. He also served as Director of Data Science at Retention Science, and a Senior Scientist at Fetch Technologies,
Dr. Michelson received his Ph.D. in computer science from the University of Southern California.