AXNS is a curatorial collective of young curators, scientists and art historians with an interest in the intersection between science and art. We curate exhibitions, events and workshops engaging the public with cutting edge research in neuroscience.
Our first project, Affecting Perception: Art & Neuroscience took place in Oxford in 2013, and featured the works of 10 international artists who suffered from different neurological conditions, and had each found their work had been affected. It was an exploration of the neural basis of how we see, paint, and draw and what we can learn when something goes wrong. Since then we’ve held talks and workshops with leading academics and artists, bringing topics such as neuroaesthetics to the public stage.
We’re always looking for new members and new projects, so if you’re interested or have a great idea, get in touch!
Rachel Stratton is an art historian and curator. Following a BA in History of Art at University of Cambridge, she completed her MA at the Courtauld Institute of Art in June 2011. She was the Curatorial Assistant at Ben Uri Museum of Art (2011-14), where she worked on exhibitions including: From Russia to Paris: Chaim Soutine and his contemporaries (Oct. 2012); Judy Chicago and Louise Bourgeois, Helen Chadwick, Tracey Emin (Nov. 2012-Mar. 2013) and ‘Uproar!’: The First 50 Years of The London Group. She has also curated freelance exhibitions, including contemporary photography at Connaught Brown Gallery (Jul. 2012), and Affecting Perception with AXNS Collective (Mar. 2013). She is currently doing her PhD at The Courtauld, where she is looking at the engagement of British Surrealism and Pop Art with popular culture, science and technology.
Rachel has a BA in Art & Psychology from the University of Reading, and a MSc in Cognitive Neuroscience from UCL. She has worked on a range of research projects in neuroaesthetics, dementia, computational modelling and virtual reality, with experience at Rutgers, The State University of New Jersey and The Sackler Centre for Consciousness Science at University of Sussex. Rachel is beginning her PhD in Computational Psychiatry at the Max Planck UCL Centre in January 2017 exploring the computational nature of mood disorders. She also works as a freelance science communicator.
Miranda studied Graphic Design and Illustration. Since graduating in 2010 she has worked across a range of creative industries, including publishing, architecture, theatre, visual art, and education. She spent the last two years working for one of the UK’s leading heath charities developing digital innovation products and is now studying an MSc in Digital Anthropology at UCL. Her research focus is on machine learning in medical diagnostic software.
Public Engagement Curator
Romy Lorenz is a cognitive neuroscientist with a multidisciplinary background in psychology and biomedical engineering and currently undergoing her PhD at Imperial College London. Since her MSc in Human Factors at the Berlin Institute of Technology, her research interest lies in developing brain-computer interfaces using different functional neuroimaging techniques and by applying machine learning methods. She gained research experience in labs in Berlin, Beijing and San Diego before starting her PhD in in London in 2013. Since then she has been actively involved in several public engagement events such as ‘Traumatic Brain Injured Patients and Carers Day’, ‘STEM World Summer School’, ‘Royal Society Summer Science Exhibition 2014’ and ‘Brain Injury “Meet the Scientists” Day’. In early 2016 she joined the AXNS team as their new Public Engagement Curator.
Cosima is an academic doctor in Psychiatry and Psychological Medicine at Guy’s & St Thomas’ Trust and founder of AXNS Collective. She previously studied Experimental Psychology and consults for digital health start ups on product design and behavior change through technology. She is an alumnus of the Singularity University Graduate Studies Programme. She is currently working for Outcomes Based Healthcare, designing a research study to investigate the use of passive smartphone sensor data for the measurement of Patient Reported Outcomes.