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BSc PhD
Elizabeth Barsotti is a petroleum engineer by training and a self-taught neuroscientist. She is currently working at the MRC Laboratory of Molecular Biology to develop electron microscope robots to image the entire brains of animals in 3D at nanometre resolution.
Dr Elizabeth Barsotti is a Senior Investigator Scientist in neuroscience and electron microscopy at the MRC Laboratory of Molecular Biology. She completed her PhD in fluid phase behaviour and thermodynamics at the University of Wyoming (2019), where she developed new in situ electron microscopy techniques and patented an apparatus for studying fluid flow through porous media. Her current research focuses on developing advanced 3D electron microscopy methods for whole-brain connectomics - mapping the wiring diagrams of brains.
Beyond research, Dr Barsotti is a Fellow of the Higher Education Academy. She supervises Thermofluid Mechanics, Mechanics, and Materials at Cambridge University, and she is a Lead Tutor for courses on Generative AI in Business and Human-Computer Interaction at Cambridge Advance Online. She is also active in outreach and entrepreneurship: in 2024 she was an Association of British Science Writers Media Fellow at the BBC Science Unit in Wales, producing and appearing in the podcast Unexpected Elements. She is the founder and director of CBX Technologies, a Cambridge-based startup developing software and hardware solutions for Net Zero infrastructure and climate change mitigation.
Dr. Barsotti's research interests include (1) robotics (hardware and software), (2) fluid dynamics & thermodynamics, and (3) natural language processing.
(1) Dr. Barsotti's research at the MRC Laboratory of Molecular Biology focuses on the development of new electron microscope robots to image the entire brains of vertebrates in 3D at nanometre-resolution. She is currently the co-investigator on a Wellcome Trust Bioimaging Technology Development Award.
(2) Dr. Barsotti holds a patent (US Patent No. 10,302,540) on a device for studying fluid flow and phase behviour through porous media. She is interested in combining experiments and molecular dynamics simulations with thermodynamic models to provide more accurate estimates for fluid flow in applications ranging from energy storage to biology.
(3) Dr. Barsotti won a C-DICE grant to understand public perceptions of small modular nuclear reactors with Loughborough University and Rolls-Royce SMR. She is interested in developing new AI methodologies for analysing sentiment in large datasets.
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