My research is in the area of knowledge representation and reasoning which is a branch of artificial intelligence. More specifically, I am currently interested in the following inter-related topics.

- Computational models of argument: Formalization of monological and dialogical argumentation using logic and probability theory; Handling enthymemes through the use of common/commonsense knowledge; And applications in decision making and sense making.

- Computational persuasion: Automated systems for engaging in a dialogue with a user (the persuadee) in order to persuade them through the use of convincing arguments and counterarguments.

Previously, I have worked on topics including non-monotonic reasoning, commonsense reasoning, paraconsistent reasoning, methods for aggregating knowledge, and measures of inconsistency.