Members (in test)


Prof. Rachael E. Jack

Professor of Coputational Social Cognition. Director of the FACESYNTAX laboratory.

Jack’s laboratory builds models of dynamic facial expressions within and across cultures using a novel interdisciplinary approach combining psychophysics, social psychology, dynamic 3D computer graphics, and information theory.


Prof. Emily S. Cross

Professor of Social Robotics. Director of the Social Brain in Action (SoBA) Lab.

With the SoBA Lab, Cross leads a team who explores questions concerning how we learn via observation, motor expertise, and social influences on human—robot interaction using intensive training procedures, functional neuroimaging, brain stimulation, and research paradigms that bridge technology, arts, and social sciences.


Prof. Stacy Marsella

Wolfson Chair of Excellence

Professor Marsella’s multidisciplinary research uses Artificial Intelligence techniques to model human cognition, emotion and social behavior. Beyond its relevance to understanding human behavior, the work has seen numerous applications, including health interventions, social skills training and planning operations. His more applied work includes frameworks for large-scale social simulations and the creation of virtual humans, embodied facsimiles of people that can engage people in face-to-face interactions using verbal and nonverbal behavior.

Dr. Limor Raviv

Lecturer in Social Interactions

Raviv is a Lecturer in Social Interaction at cSCAN and a Minerva research group leader at the Max Planck Institute for Psycholinguistics, leading the group “Language Evolution and Adaptation in Diverse Situations” (LEADS). Raviv’s work focuses on linking core aspects of cultural evolution and language learning using a range of novel behavioral paradigms and computational models.


Prof. Frank Pollick

Professor Frank Pollick is currently doing research across a variety of topics in cognition, visual perception and human interactions with technology, particularly as they impact mental health in the workplace. Current funded projects investigate the role of trust in optimising the performance of human-AI teams as well as neurostimulation as a means to mitigate visually induced motion sickness in VR.