Steven Minton – Chief Technical Officer

Dr. Minton is an internationally recognized leader in Artificial Intelligence. He graduated Summa Cum Laude from Yale and earned his Ph.D. from Carnegie-Mellon University. After leaving CMU, he joined NASA’s Ames Research Center as a Principal Investigator at NASA’s Ames Research Center. Steve later joined the faculty at the University of Southern California, where, together with Craig Knoblock and Yigal Arens, he led the research efforts that were eventually spun off to create Fetch Technologies. Steve was elected to be a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1998. He has received numerous awards for his work in artificial intelligence, including the AAAI’s 2008 Classic Paper award. Steve also founded the Journal of Artificial Intelligence Research (JAIR), one of the leading Computer Science journals, and served as its first Executive Editor.

Sofus A. Macskassy – Director of Fetch Labs

Sofus received his Ph.D. from Rutgers University. His work at Rutgers included applying machine learning and text classification techniques to improve on state-of-the-art intelligent information filtering. In addition to his role at Fetch, Sofus is also an Assistant Adjunct Professor at the Department of Computer Science at the University of Southern California (USC), where he teaches graduate-level machine learning. As an Associate Research Scientist at New York University, Sofus applied relational machine learning and guilt-by-association techniques to identify people of interest in large social networks. He is also the primary designer and developer of the Network Learning Toolkit (NetKit-SRL), which is used by researchers world-wide. Sofas’ current research focus is on relational machine learning, social network analysis, and information filtering. He has numerous publications in the areas of relational learning, social network analysis, information filtering and machine learning.

Greg Barish – Chief Architect

Greg received his B.S. in Cognitive Science from UCLA, and his Ph.D. in Computer Science from the University of Southern California. While in graduate school, he developed the Theseus agent execution system, which provides the foundation for Fetch’s Agent Platform. His research interests are in the efficient processing, mining, and monitoring of data networks. Prior to Fetch, Greg held senior engineering positions at Healtheon Corporation (now WebMD) and Oracle Corporation. He is the author of the book Building Scalable and High-Performance Java Web Applications Using J2EE Technology, published by Addison-Wesley. He also has numerous publications in the area of intelligent agents and Web technology.

Matthew Michelson – Senior Research Scientist

Matt specializes in information extraction, information integration, record linkage, and machine learning. His research works include extracting information from very noisy sources such as classified ads, dramatically increasing the scalability of record linkage, and automatically harvesting geographic maps from the Web. His work has been published in numerous venues including the top international AI conferences and journals. Matthew received his Ph.D. in computer science from the University of Southern California in 2009 under the advisement of Craig Knoblock.

Evan Gamble – Senior Software Engineer

Evan has 30 years of experience as a software engineer, electrical engineer and systems integrator. He has long experience in developing artificial intelligence and machine learning software, including work at NASA’s Ames Research Center, IntelliCorp, Fetch Technologies, and as a consultant. He helped design a network programming language at IBM Watson Research Center. He has experience as an electrical engineer designing MEMS (Micro-Electro-Mechanical Systems) and as a system integrator for a large interdisciplinary engineering project at the Wireless Integrated Microsystems Engineering Research Center at the University of Michigan. He has an AB in Mathematics from U.C. Berkeley.

Kane See – Software Engineer

Kane received his B.S. in Computer Science from Georgia Tech and his M.S. in Computer Science from UCLA. He has a broad background in computer science and has worked on mobile applications and text analytics. Kane now primarily leads the development efforts of the Entitybase technology at Fetch.