His research primarily focuses on understanding multimodal human communication with computer vision and machine learning based methods. In particular, his research employs various types of large scale multimodal media data such as TV news or online social media and examines how multimodal cues in these domains relate to public opinions and real world events. He holds Ph.D. in Computer Science from UCLA. He was a former research scientist in Computer Vision at Facebook prior to joining UCLA in 2015.