Photo of Paul Bays
After studying Experimental Psychology as part of the Natural Sciences tripos at Cambridge University, Paul joined Daniel Wolpert’s research group where he conducted experiments in motor learning and sensorimotor prediction. On obtaining his PhD in 2006, he took up a post-doctoral position in Masud Husain's group at the UCL Institute of Cognitive Neuroscience, where he investigated visual memory, eye movements and the neglect syndrome. In 2010 he joined the UCL Institute of Neurology as a Wellcome-Beit Prize Fellow. In 2013–15, Paul was a Visiting Scholar at the Institute of Cognitive & Brain Sciences, UC Berkeley. In 2015 he returned to the University of Cambridge as a Wellcome Trust Senior Research Fellow. In 2022, he was made Professor of Computation and Cognition.

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Photo of Adam Triabhall
Adam obtained an MA in Psychology with a specialism in Neuroscience from the University of Glasgow. He joined the lab in 2021 as an MPhil student of Biological Science (Psychology) to research the computational mechanisms of working memory retrieval using modelling and online experiments. Since 2022 he has also been a part-time Research Assistant, working on the development of Extended Reality (XR) experiments.


Photo of Ivan Tomić
Ivan conducted his doctoral studies in Psychology at the University of Zagreb in Croatia. In his PhD project he investigated the consequences of processing distractors of different strengths on representations in visual working memory. He was awarded funding by the British Scholarship Trust to visit the Bays lab during 2016/2017, in order to deepen his understanding of working memory. He returned to the lab in 2019 as a Research Associate to study visual perception and memory, in particular how sensory representations enter working memory. In 2021 he took up a research and teaching position in Zagreb but continues to work closely with the lab, using artificial neural networks and computational models to study visual memory.


Former members
Photo of Zahara Gironés
Zahara Gironés studied Theoretical Physics at the Autonomous University of Madrid and completed her Ph.D. at the University of Valencia, working on models of modified gravity. Afterwards she conducted postdoctoral research in computational neuroscience: in 2015, she joined the Destexhe Lab in Paris where she studied brain state changes by developing biophysically realistic models of thalamocortical networks. Afterwards, in the University of Oregon, she studied how human memory segments our continuous experience by analyzing fMRI data. She worked in the lab as a Research Associate from 2020 to 2022, conducting computational modeling of visual perception and memory using neurally inspired models based on principles of efficient coding and Bayesian inference. The project is a collaboration with Máté Lengyel from the Dept of Engineering, University of Cambridge.
Photo of Dagmar Adamcova
Dagmar Adamcova completed her MSc in Psychology at Masaryk University. During an internship at the University of Sheffield, she investigated the relationship between skill acquisition and motivation using large observational video game data. Dagmar worked in the lab as a Research Assistant in 2021 studying visual working memory using a combination of lab-based and online experiments.
Photo of Sebastian Schneegans
Sebastian Schneegans studied Computer Science at the University of Tübingen and obtained his PhD in the group of Gregor Schöner at the University of Bochum in Germany. In his PhD project, he addressed questions of visuo-spatial perception, memory, and cognition by designing computational models within the framework of dynamic field theory. He was a Research Associate in the lab from 2015 to 2022, studying the structure and neurocomputational basis of feature binding in visual working memory.
Photo of Jessica McMaster
Jessica McMaster obtained a BSc in Psychology at the University of Lincoln and an MSc in Cognitive Neuroscience at the University of York. During her MSc she used fMRI to study age-related differences in the neural substrates of distraction filtering during working memory encoding and delay. She joined the lab as a Research Assistant in 2019, running experiments and simulations to investigate the basis of binding errors in visual working memory. She left in 2020 to take up a PhD place funded by the ESRC Cambridge Doctoral Training Partnership to investigate factors underlying resilience to age-related cognitive decline.
Photo of Garry Kong
Garry Kong completed his PhD at the University of Sydney, working with Erik Van der Burg and David Alais to study what genetic algorithms could reveal about visual search behaviour. In 2017, he joined Daryl Fougnie's lab at New York University Abu Dhabi, where they investigated interactions between working memory and attention. He worked in the lab as a Research Associate from 2019, investigating the brain's ability to combine visual information across gaze fixations to infer the cause of transsaccadic changes. He left at the end of 2020 for an Assistant Professor position at Waseda University in Japan.
Photo of Thomas Fontaine
Thomas Fontaine completed his Foundation degree in Mathematics at Sorbonne University and his BSc in Fundamental Physics at the University of Paris-Sud. Still studying Physics at the Magistère de Physique Fondamentale d'Orsay, he specialized in Theoretical Neuroscience at the Ecole Normale Supérieure, where he completed his BSc thesis on predictive inference. He joined the lab in 2019 to conduct his MSc thesis, addressing a population coding basis for integration of visual information across eye movements. The project was a collaboration with Máté Lengyel from the Dept of Engineering, University of Cambridge.
Photo of Lisa Kröll
Lisa Kröll obtained a BA in psychology and an MA in neuro-cognitive psychology at Ludwig-Maximilians-University Munich. She joined the lab as a visiting student in 2018 to conduct her Master's thesis on the role of visual working memory in saccadic integration. She went on to study for a PhD under the supervision of Martin Rolfs at the Humboldt University in Berlin.
Photo of Rob Taylor
Rob Taylor studied psychology at Massey University in New Zealand, where he obtained his BA, MA, and PhD. Rob’s PhD investigated how trial-by-trial feedback influenced the precision of categorization judgments by modelling performance using a dynamic signal detection framework. During the final year of his PhD Rob moved to Sydney where he began work with Chris Donkin at the University of New South Wales and addressed the nature of capacity limits in visual working memory. He worked in the lab as a Research Associate from early 2017 to late 2018, exploring neurocomputational models of working memory. He then returned to Australia to take up a position at the University of Newcastle.
Photo of David Aagten-Murphy
David Aagten-Murphy studied Psychology and Neuroscience at the University of Sydney in Australia, working with David Alais on multisensory processing. He then moved to Italy to pursue a PhD project with David Burr investigating our perception of spatial, temporal and numerical magnitudes. In collaboration with Liz Pellicano this research was applied to investigating perceptual differences in children with Autism. After completing his PhD he then moved to Munich to investigate multisensory processing across eye-movements with Heiner Deubel. David worked in the lab from 2016 to 2018, studying the integration of visual information across gaze shifts and how multiple coordinate systems contribute to spatial working memory.
Photo of Viljami Salmela
Viljami Salmela obtained his PhD at the University of Helsinki in Finland, where he studied perception of surface brightness. Viljami went on to study precision of visual working memory for contour shapes (with Jussi Saarinen), used fMRI to study representations of shapes and surfaces in the visual cortex (with Simo Vanni at Aalto University) and investigated brain networks related to attentional control and working memory (with Kimmo Alho). In 2016, Viljami was awarded an Academy of Finland Research Fellow position and he started his own research group to study face perception and memory. He joined the Bays lab as a visiting scholar during 2018 to investigate memory precision of facial expressions.
Photo of Will Harrison
Will Harrison completed his PhD in Psychology at The University of Queensland in Australia in 2013. He then moved to Boston for his first postdoc with Peter Bex to investigate visual crowding at Schepens Eye Research Institute and Northeastern University. He joined the Bays lab in early 2017 to investigate the relationship between eye movements, crowding, and working memory. In 2018 he left for the Queensland Brain Institute as an Early Career Fellow of the National Health and Medical Research Council of Australia, and was subsequently awarded a Discovery Early Career Researcher Award (DECRA) from the Australian Research Council.
Photo of Ben Dowding
Ben Dowding graduated with an MPhys degree in Physics from the University of Southampton, and subsequently worked in research and development for various companies, ranging from radiation detection to inkjet printing. He joined the lab as a Research Technician / Programmer to develop software for use in visual memory and decision-making experiments. He left in 2016 to pursue opportunities in industry.
Photo of Leonie Oostwoud Wijdenes
Leonie Oostwoud Wijdenes obtained a BSc and MSc degree in Human Movement Sciences at VU University Amsterdam. Her PhD project was in Jeroen Smeets' research group, where she studied the characteristics of online movement corrections. She joined the lab as a post-doc in 2013 to investigate the influence of working memory and resource limits on planning and execution of movement. In 2015, she joined Pieter Medendorp's lab at the Donders Institute in the Netherlands, where she became Assistant Professor in 2021.
Photo of Louise Marshall
Louise Marshall studied Physiological Sciences at Oxford University. Specializing in Neuroscience, she became interested in the experimental methodologies used to investigate sensorimotor integration while conducting a dissertation project with Professor John Stein. Working in the lab as a research assistant, she was responsible for procuring and testing new equipment as well as conducting experiments, including an investigation of attentional control over allocation of visual memory. She joined UCL's PhD programme in Clinical Neurosciences in 2012.
Photo of Muy-Cheng Peich
Muy-Cheng Peich studied Biology, specializing in Neuroscience, in the Magistère of Biology at the École Normale Supérieure de la rue d’Ulm and entered the École Normale Supérieure de Cachan in 2010. During an internship at UCL she investigated visual working memory and binding in older adults and individuals with Alzheimer’s disease. The project was a collaboration with Masud Husain at the University of Oxford.