Dr. Paul Fodor is an Associate Professor of Practice with the Department of Computer Science at Stony Brook University. His work on declarative rule languages and logic, used as a specification language and implementation framework for knowledge bases, was applied in areas ranging from natural language processing to complex event processing and semantic Web technologies. Through his research, Dr. Fodor has contributed to several large software projects: the IBM Watson natural language processing system for the Jeopardy! challenge with human champions, the OpenRuleBench suite of benchmarks for analyzing the performance and scalability of rule systems for the semantic Web, and the ETALIS and EP-SPARQL declarative complex event processing languages and stream reasoning systems. Dr. Fodor was awarded the 2019 SUNY Chancellor's Award for Excellence in Teaching in recognition of the thousands of students whom he teaches and mentors each year in a range of classes focused on programming languages, artificial intelligence, database systems and discrete math.