Software Engineer And Junior Computational Neuroscientist
Oxford, England, United States
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Summary
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Senior
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Top School
Sarah Guthrie is a software engineer and junior computational neuroscientist with 12 years of experience applying machine learning and engineering to psychiatric and genomic data. She has bridged roles from bioinformatics at Curoverse—where she worked on compressed "tiled" genome encodings—to developing production lab informatics at Invitae and building EEG–fMRI analysis tools at the MGH Martinos Center. Her work spans DNA/RNA, structural and functional MRI, EEG, behavioral recordings and large multimodal pipelines, and she has hands-on experience curating datasets used to train clinical prediction models for mood and psychotic disorders. Based in Oxford, she combines rigorous computational modeling (started at MIT studying antibiotic mechanisms) with practical software delivery, including an open Python package for exploring hemodynamic models. Colleagues describe her as a pragmatic integrator who translates complex neuroscience experiments into reproducible, ML-ready datasets.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Computer Science and Molecular Biology, 4.8/5.0, Bachelor of Science (BS), Computer Science and Molecular Biology, 4.8/5.0 at Massachusetts Institute of Technology
Graduate-level, Neurobiology and Neurosciences, A, Graduate-level, Neurobiology and Neurosciences, A at Harvard Extension School
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