Director: Joseph M. Barnby

As a cognitive and computational scientist I am interested in developing better theories of the brain and behavioural basis of social interaction, how these might be used to explain and treat psychiatric and neurological disorders, and improve artificial systems.

My group develops mathematical models and empirical experiments to study complex cognitive processes within social [multi-agent] interaction.

I currently hold appointments as a Strategic Senior Research Fellow at the Centre for AI and Machine Learning and Associate Professor/Senior Lecturer at King’s College London. I am part of the FENS-Kavli Network of Excellence as a FENS-Kavli Scholar and the founder & CEO of Hypatia – a focused research organisation creating tools to improve the interpretability of biological and synthetic data.

Core Team

Gavin Cooper

Gavin Cooper is a Postdoctoral Fellow (Wellcome Trust). His primary project involves developing an accessible web interface to help researchers apply gold-standard cognitive modelling techniques to answer their research questions. His previous work included developing models of consumer choice behaviour as part of his PhD at the University of Newcastle, Australia. His research interests include developing novel models of cognition and creating tools to help improve access to cognitive modelling techniques. Outside of work, Gavin is an avid reader, contributes to open-source software and enjoys hikes and being a father.
Sepehr Razavi

Sepehr Razavi is a DPhil student at the University of Oxford. His previous studies include an MSc in Cognitive Science at the University of Edinburgh and a BA and MA in philosophy at the Université de Montréal. For his doctoral work with the Social Computations and Representations Lab, he is working on biologically plausible computational models of thought insertion and paranoia. His theoretical interests include the status of computational models, social cognition, and foundational issues in cognitive science. His hobbies include reading incomprehensible books, Sunday football, and playing the saxophone.
Andrés Miniguano-Trujillo

Andrés Miniguano–Trujillo brings a background in Applied Mathematics to his post as a Research Associate at King’s College London. At the SoCRLab, he develops modelling and computational tools to understand decision-making and social inference, drawing on experience in variational imaging, parameter learning for optimal control of dynamical systems, and combinatorial optimisation. He earned a PhD in mathematical modelling, analysis, and computation at the University of Edinburgh and Heriot-Watt University. His research interests lie at the intersection of applied optimal control of differential systems, numerical analysis of nonlocal systems, and combinatorial optimisation of complex systems. Away from proofs and plots, Andrés rides his bike around London, bakes different kinds of bread, enjoys reading on decolonising spaces, and does some occasional photography.

Affiliate Team

Nitay Alon

Nitay Alon is a Postdoc at MIT in the Tenenbaum lab. He was previously PhD student at the Hebrew University of Jerusalem and the Max Planck Institute for Cybernetics. His main research aims at understanding the role of Theory of Mind (ToM) in mixed motive games. Nitay is one of the co-chairs of the ToM4AI workshop at AAAI. He holds a M.sc in statistics and Machine learning as well as a BA in economics and B.sc in statistics from Tel Aviv University.
Henry Burgess

Henry Burgess is a Software Engineer II in the Department of Neuroscience at WashU. His previous studies include a BEng (Honours) in Software Engineering at the University of Queensland and he is undertaking a Master of Engineering Management at WashU. His work in the Brain Development and Disorders Lab under Prof Linda Richards includes implementing novel human behavioral tasks using web-based and virtual reality technologies. His hobbies include fishing, wilderness hiking, and coffee shop pastries.