ResearchMultiComp’s research is concentrated in three major areas: artificial social intelligence where we
study human subtle communicative behaviors and emotions during social interactions, multimodal
machine learning where we build algorithms and neural representations to model heterogenous data
from language, speech and vision, and health behavior informatics where we create technologies to
support clinicians in their diagnosis and treatment decisions for mental health. It is one of the most exciting
research program, one that fosters novel interdisciplinary collaborations and creates unique intellectual
challenges that go well beyond computing into other areas of academia and have clear public impact.
Indeed, MultiComp Lab’s work takes advantage of recent advances in, and the potential for synergic
interaction among, the fields of computer vision, machine learning, signal processing, and computational
linguistics. Moreover, this research has clear applications into healthcare (depression, PTSD, suicide,
autism), education (learning analytics), business (negotiation, interpersonal skills) and social multimedia
(opinion mining, persuasion).