Kyle Aitken

Scientist at Allen Institute

Seattle, Washington, United States
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Summary

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Senior
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Top School
Kyle Aitken is a scientist based in Seattle with eight years of experience at the intersection of computational neuroscience, machine learning, and theoretical physics. Currently researching computational and theoretical systems neuroscience at the Allen Institute, he brings a physics-first approach to modeling neural dynamics and network behavior. His PhD from the University of Washington produced a broad portfolio of 13 papers spanning neuroscience, ML, and theoretical particle physics, reflecting a rare cross-disciplinary fluency. Past roles—from Boeing electronic design work modeling radiation effects to particle-physics-inspired analyses of neural network correlations at X—demonstrate an ability to translate deep theory into practical computational models. He combines high-performance numerical modeling experience on top supercomputers with hands-on algorithmic insight, often leveraging topological and dynamical-systems perspectives not obvious from a standard neuroscience background. Colleagues describe him as someone who blends rigorous analytic thinking with collaborative experimentation across academic and industrial teams.
code8 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Washington
bookBachelor of Science (B.S.), Electrical Engineering, A, Bachelor of Science (B.S.), Electrical Engineering, A at Purdue University
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Github Skills (5)

language-model5
meta-learning3
simulation1
physics1
dynamics1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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PTJC/PTJC

Mar 2018 - Jan 2020

Contributions:135 commits, 116 pushes in 1 year 10 months
kaitken17/mpn

Jun 2022 - Apr 2024

Meta-learning local synaptic plasticity for continual familiarity detection
Contributions:25 pushes, 2 branches in 1 year 10 months
meta-learning
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