Torres is an applied sociolinguist who employs both quantitative and qualitative methods to analyze spoken and written discourses related to medical interactions and policies, as well as AI use in language learning.

His primary research interests include reinforcement learning, data mining, and urban computing, with a focus on trustworthy machine learning, multi-agent reinforcement learning, and spatio-temporal data mining.