I develop computational methods for modeling human cognition, emotion, and behavior in digital environments. My work focuses on extracting cognitive and emotional signals from real-world behavioral data such as online interactions, reviews, and activity traces. By designing new algorithms for emotion mining, behavioral modeling, unsupervised structure discovery, and cognitive signal detection, I aim to uncover the latent patterns that shape human experiences in digital contexts. These methods support a deeper understanding of user behavior and inform applications in personalization, recommendation, human-centered AI, and decision support systems.