PhD candidate at the MRC Laboratory of Molecular Biology
PhD candidate in Systems and Computational Neuroscience, University of Cambridge
My research aims to determine the molecular and cellular mechanisms that control and generate behaviour. I work with the nervous system of the nematode C.elegans and use a combination of computational and experimental tools to understand its neuronal interactions and dynamics. In particular, I use network analysis, behavioural assays and microscopy in order to test how neuromodulation affects the synaptic connectome and how that translates to behaviour. I work with a wide variety of data including transcriptomic, biochemical, microscopy and behavioural datasets.
I received a bachelor’s degree in Biochemistry from Imperial College London and I worked as a research assistant at the MRC-LMB before starting my PhD at the University of Cambridge funded by the MRC. I was also the team leader of the 2018 iGEM Imperial College team and I am the co-organiser of the 2022 LMB Symposium.
Full list of publications at ORCiD
Follow on Twitter @Lidia_Ripoll_S
Cellular and molecular mechanisms of behaviour
Systems and Computational Neuroscience
1. J.M. Lawrence, Y. Yin, P. Bombelli, A. Scarampi, M. Storch, L. T. Wey, A. Climent-Catala, PixCell iGEM team, G. S. Baldwin, D. O’Hare, C. J. Howe, J. Z Zhang, T. E. Ouldridge, R. Ledesma-Amaro (2021), “A modular toolset for electrogenetics” bioarxiv
2. A. Javer, L. Ripoll-Sánchez, A.E.X. Brown (2018), “Powerful and interpretable behavioural features for quantitative phenotyping of Caenorhabditis elegans” Philosophical transactions of the Royal Society of London. Series B, Biological sciences