Jeff Catlin has over 20 years of experience in the fields of search, classification and text analytics products and services. He has held technical, managerial and senior management positions within a variety of companies including Thomson Financial and Sovereign Hill Software. Prior to the formation of Lexalytics, Jeff acted as the General Manager for the unstructured data group of LightSpeed Software where he was responsible for sales, marketing and development efforts for the Knowledge Appliance and iFocus products. Prior to joining LightSpeed, he was co-owner of PleasantStreet Technologies which produced a news-filtering product. Jeff graduated from UMass Amherst with a degree in Electrical Engineering in 1987.
Tim Mohler has over 14 years of experience in the fields of text analytics and reputation management and is focused on helping companies get better information for better decisions. He spent 5 years as the Principal for Mohlenaar Consulting where he worked with Fortune 1000 companies implementing text analytics solutions. Prior to Mohlenaar Consulting, he was focused on tying network management information to business goals for financial services firms. He was instrumental in implementing a business services view of the primary market making operations of one of the world’s largest hedge funds. Tim has a degree in Math from Carnegie Mellon University.
Seth is currently 3 for 4 in startups, including co-founding and selling a networking company to Cisco Systems. Seth was into data before it was big, and has been dealing with unstructured data problems for over ten years now. Seth is responsible for all marketing inside of Lexalytics, from arguing about taglines to filling sales' insatiable need for leads. Seth has a degree in Chemistry from Carnegie Mellon University, which occasionally makes him dream of being back at a lab bench when he's debating whether the logo should be teal, cobalt, or more of a robins-egg blue. (For a serious photo, see the Press > Brand Assets section)
Paul Barba has 10 years of experience developing, architecting, researching and generally thinking about machine learning, text analytics and NLP software. He has been working on growing system understanding while reducing human intervention and bringing text analytics to web scale. Paul has expertise in diverse areas of NLP and machine learning, from sentiment analysis and machine summarization to genetic programming and bootstrapping algorithms. In 2016, Paul is continuing to bring cutting edge research to solve everyday business problems, while working on new “big ideas” to push the whole field forward. Paul earned a degree in Computer Science and Mathematics from UMass Amherst.