Pedro Vidal
Applied Scientist, Machine Learning at Amazon
New York, New York, United States
Summary
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Senior🎓
Top SchoolPedro Vidal is an Applied Scientist at Amazon with a PhD in Computational Neuroscience and a decade of experience translating neural data insights into production-grade machine learning systems. He has built robust stimulus decoders from early olfactory neuronal recordings and engineered ML methods for a brain–machine chemical detector during his doctoral research at NYU, blending wet‑lab intuition with advanced computational modeling. At Amazon he focuses on deploying cutting‑edge AI to improve customer experience, leveraging deep learning, signal processing, and large-scale data pipelines. His background spans bioinformatics, genomics, and electrophysiology, giving him uncommon fluency across experimental design and production ML. Based in New York, he combines rigorous academic training with practical engineering—often surfacing novel solutions that bridge neuroscience and applied machine learning.
10 years of coding experience
11 years of employment as a software developer
Master of Science (M.S.) Condensed Matter Physics and Biological Systems, Master of Science (M.S.) Condensed Matter Physics and Biological Systems at Universidad Autónoma de MadridComputational Neuroscience Ph.D Neuroscience, Computational Neuroscience Ph.D Neuroscience at New York University
English, Italian, SpanishProgramming languages (1)
Github contributions (5)
pedroherrerovidal/pedroherrerovidal.github.io
May 2020 - Jan 2025
Pedro Herrero-Vidal's website
Contributions:3 PRs, 207 pushes, 2 branches in 4 years 8 months
pedro
pedroherrerovidal/amLDS
Oct 2021 - Oct 2022
Contributions:24 commits, 6 pushes in 1 year
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