Matthew Davenport

Graduate Research Fellow

New York, New York, United States
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Summary

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Senior
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Top School
Matthew Davenport is a neuroscience graduate fellow and biomedical engineer with eight years of research experience exploring the evolutionary neuro-implementation of speech. Based at The Rockefeller University, he combines deep experimental skills in neurophysiology and protein assays with a strong quantitative engineering background from a summa cum laude BS in Biomedical Engineering. His prior co-op roles at Cincinnati Children’s and Myriad Neuroscience involved designing protocols, mentoring lab staff, and translating genomic and behavioral data into actionable experimental plans. He’s practiced at bridging molecular, circuit-level, and behavioral approaches in mouse models of neurodevelopmental disorders, with an eye toward how biological constraints shape communicative systems. Colleagues describe him as methodical and curious, often standardizing workflows that improve reproducibility and onboarding for new researchers. He brings a rare mix of hands-on bench expertise and conceptual interest in the evolutionary origins of speech.
code8 years of coding experience
bookDoctor of Philosophy - PhD, Neuroscience and Behavior, Doctor of Philosophy - PhD, Neuroscience and Behavior at The Rockefeller University
bookBachelor of Science in Biomedical Engineering (BS-BME), Summa Cum Laude, Bachelor of Science in Biomedical Engineering (BS-BME), Summa Cum Laude at University of Cincinnati
bookSumma Cum Laude, Summa Cum Laude at Finneytown High School
languagesEnglish
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Github Skills (11)

segmentation2
corpus2
notebook2
generative1
machine-learning1
reduction1
nlp1
clustering1
dimensionality-reduction1
sequencing1
datasets1

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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mattisabrat/CountMatrix

Jul 2019 - Aug 2021

Contributions:18 commits, 15 pushes in 2 years 1 month
Contributions:12 commits, 1 push in 2 months
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