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Organising Committee Members |
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Caswell Barry (chair) Caswell’s goal is to understand the computations instantiated in the brain. To this end his research is focused on memory, in particular memory for places and events. His lab is based in the Research Department of Cell and Developmental Biology and uses a mixture of experimental and computational approaches, including machine learning. |
Padraig Gleeson (co-chair) Padraig leads the Gleeson Lab of Open Neuroscience and AI in the department of Neuroscience Physiology and Pharmacology. He collaborates with Prof. Angus Silver on the Open Source Brain platform for model and data sharing in neuroscience, and develops standardised languages for model specification in computational neuroscience and machine learning. |
Will de Cothi Will is a Postdoctoral Research Fellow in Prof. Caswell Barry’s lab at the department of Cell and Developmental Biology. He is interested in using machine learning and computational modelling to help understand the brain and behaviour. |
Jin Hwa Lee Jin Hwa Lee is a PhD student in the Sainsbury Wellcome Centre supervised by Andrew Saxe. Her primary research interest is understanding learning dynamics of the task compositionality in both ANN and the biological brain. She is also interested in developing AI tools to help making sense of high dimensional neural/behavioral data in neuroscience. |
Jai Bhagat Jai Bhagat is a PhD student in the Sainsbury Wellcome Centre between the labs of Tiago Branco and Tom Mrsic-Flogel, researching social and continual learning in long-term, continuous recordings of rodents performing naturalistic behaviors. He is also interested in using automated, ML-driven pipelines to facilitate collection and analysis of experiment data. |
Asaph Zylbertal Asaph is a Postdoctoral Researcher in Dr Isaac Bianco's lab, based in the Department of Neuroscience, Physiology and Pharmacology at UCL. He is studying how internal state and network dynamics shape behaviour, by combining in vivo experimental approaches in larval zebrafish and computational modelling. |
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