Dr Sarah Morgan- Principal Investigator
Sarah is an Accelerate Science Research Fellow at the Cambridge Department of Computer Science and Technology, a Senior Research Associate at the Cambridge Psychiatry Department and a Fellow at The Alan Turing Institute. She is a Physicist by training, and holds a PhD in theoretical Physics from the Theory of Condensed Matter group, Cambridge.
Shrankhla Pandey- PhD student
Shrankhla’s research focuses on harnessing the power of speech processing, clinical decision support systems, natural language processing, machine learning methods, health, and wearable technologies. She aims to leverage these tools to enhance prevention, remission, and management of mental health conditions such as psychosis, schizophrenia, depression, and anxiety. Shrankhla’s PhD is funded by a scholarship from the WD Armstrong Trust Fund and the Accelerate Science programme, and is co-supervised by Dr Graham Murray from the Cambridge Psychiatry Department.
Isaac Sebenius- PhD student
Isaac is interested in developing new computational methods that leverage biological knowledge to address open questions related to mental health and psychiatric disorders. In particular, Isaac’s work seeks to characterize and predict the spectrum of psychotic disorders by using machine learning to combine multiple types of neuroimaging-derived brain connectivity, genetic and other biological data. Isaac is a Gates Scholar and Accelerate Science PhD student.
Dr Abigail Gee- Academic Clinical Fellow
Abbie is an Academic Clinical Fellow with broad interests in clinical psychiatry, cognitive neuroscience, neuroimaging and qualitative research to make translational discoveries that improve the lives of patients.
Alumni
Rebeca Ianov Vitanov- MPhil student
Rebeca uses network neuroscience approaches to study functional brain connectivity in young people at neurodevelopmental risk, in the CALM dataset. She is particularly interested in identifying connectivity markers of psychopathology and understanding how these might relate to learning outcomes.
Marcella Montagnese– PhD student at King’s College London, former visiting PhD student
Marcella works on the neural and cognitive correlates of Parkinson’s Disease psychosis. To that end, she employs multimodal imaging techniques (resting state fMRI, structural and diffusion imaging) and combines them with network neuroscience, transcriptomics, and receptor maps approaches.
Dr Caroline Nettkoven-Research Fellow at Western University, London Ontario, Canada, former postdoc
Caro is a neuroscientist interested in how different brain regions work together to achieve complex behaviours. She also studies how disrupted communication between brain regions leads to disordered behaviour and has a particular interest in the cerebellum. During her time in the group, she worked on new NLP techniques to capture altered patterns of language use in mental health conditions.
AI for Brain Sciences 