Summary
Anna-leigh Brown is a postdoctoral researcher at UCL with 11 years of multidisciplinary experience applying computational and experimental approaches to neurodegeneration and cancer genomics. She completed a PhD in Computational Molecular Neuroscience after research positions at NCBI and NIH, where she combined behavioral, molecular and data-analytic methods using Python, MATLAB and statistical tools. Her doctoral work linked loss of nuclear TDP-43 function to ALS/FTD genetic risk and earned the Jean Corsan Prize for best PhD paper in 2023. Comfortable moving between wet lab, high-throughput 'omics and code-driven analysis, she has a track record of translating mechanistic insights into reproducible computational workflows. Based in London, she brings an uncommon blend of primate behavioral training, field ecology experience and deep sequencing analysis to questions of RNA processing in neurodegenerative disease.
11 years of coding experience
2 years of employment as a software developer
International Baccalaureate, International Baccalaureate at American International School of Kuwait
Study abroad, Study abroad at Rothberg International School, The Hebrew University of Jerusalem
Bachelor of Science (B.S.), Neuroscience, 4.00, Bachelor of Science (B.S.), Neuroscience, 4.00 at Jacobs University Bremen
University College London
English, German