Jia Tao, associate professor of computer science
Research area: Tao‘s research is interdisciplinary in nature in that it involves artificial intelligence (AI), theoretical computer science, and game theory. More specifically, she has been working in the area of knowledge representation and reasoning, representing information about the world in a form that a computer system can utilize, designing formalisms that make complex systems easier to devise and build, and incorporating theoretical findings from logic to automated reasoning. As much of Tao’s research focuses on building logical foundations in AI, her academic publications are mainly in AI, logic, and philosophy venues, including Artificial Intelligence, Synthese, Review of Symbolic Logic, Journal of Logic and Computation, Journal of Automated Reasoning, ACM Transactions on Computational Logic, AAAI Conference on Artificial Intelligence, International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), and International Joint Conference on Artificial Intelligence (IJCAI).
Her Lafayette journey: Tao joined the Lafayette faculty in 2017. Since then, she has taught the introductory CS course Digital Media Computing and upper level CS courses including Artificial Intelligence, Principles of Programming Languages, and Theory of Computation. She enjoys interacting with students and has worked with multiple students on various research projects.
What she’ll be teaching in the fall: CS150 Data Structure and Algorithms