Romy Lorenz is a cognitive neuroscientist with a multidisciplinary background in psychology and biomedical engineering. Currently, she is a Postdoctoral Research Fellow in the Computational, Cognitive and Clinical Neuroimaging Lab (C3NL) at Imperial College London.
Her research interest lies in developing brain-computer interfaces (BCIs) and artificial intelligence (AI) using different neuroimaging techniques and by applying machine learning. Rather than looking at BCIs through the lens of assistive technology though, she is passionate about using BCIs as a new experimental paradigm in cognitive neuroscience.
She received her PhD from Imperial College London where she have developed an “AI neuroscientist” – a novel BCI for optimizing experimental design by combining real-time fMRI with Bayesian optimization.
Alongside her research, she is working as a co-director for AXNS, a curatorial collective interested in the intersection between neuroscience and art. Romy Lorenz is a cognitive neuroscientist with a multidisciplinary background in psychology and biomedical engineering. Currently, she is a Postdoctoral Research Fellow in the Computational, Cognitive and Clinical Neuroimaging Lab (C3NL) at Imperial College London.
Her research interest lies in developing brain-computer interfaces (BCIs) and artificial intelligence (AI) using different neuroimaging techniques and by applying machine learning. Rather than looking at BCIs through the lens of assistive technology though, she is passionate about using BCIs as a new experimental paradigm in cognitive neuroscience.
She received her PhD from Imperial College London where she have developed an “AI neuroscientist” – a novel BCI for optimizing experimental design by combining real-time fMRI with Bayesian optimization.
Alongside her research, she is working as a co-director for AXNS, a curatorial collective interested in the intersection between neuroscience and art. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at [ Ссылка ]
