Paul Barba is the chief scientist at InMoment, where he is focused on applying machine learning (ML), natural language processing (NLP) and artificial intelligence (AI) technologies to solve the challenges related to analyzing mountains of unstructured feedback data in the customer experience (CX) market. Paul has spearheaded the integration of generative AI and large language models (LLMs) into InMoment’s award-winning NLP stack and continues to drive that development as new capabilities come to market. 

Paul has nearly two decades of experience in diverse areas of NLP and machine learning, from sentiment analysis and machine summarization to genetic programming and bootstrapping algorithms. Paul is continuing to bring cutting-edge research to solve everyday business problems while working on new “big ideas” to push the entire field forward.

Paul earned a degree in Computer Science and Mathematics from UMass Amherst.