James Kunert-graf
Research Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJames Kunert-graf is a research data scientist based in Seattle with nine years of experience extracting structure from noisy, high-dimensional and heterogeneous datasets, particularly dynamic data on nonlinear biological networks. With a PhD in Physics from the University of Washington, he blends machine learning with information theory, dynamical systems, and control theory to develop novel analytical methods. His work spans academic and industry research roles, including postdoctoral and data science positions at the Pacific Northwest Research Institute and a current research role at Meta. He has applied dimensionality reduction and bifurcation analysis to whole-connectome neural dynamics and built methodologies for analyzing and controlling nonlinear network behavior. Known for bridging theory and computation, he enjoys hands-on teaching and lab work that sharpen his ability to translate complex math into practical data-science tools. Beyond standard toolkits, he brings a physicist’s intuition for emergent behavior in networks, enabling insights that aren’t obvious from black-box models alone.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Physics, Mathematics (Applied), Bachelor of Science (BS), Physics, Mathematics (Applied) at University of OregonDoctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of WashingtonAssociate of Arts (A.A.), Physics, Associate of Arts (A.A.), Physics at Umpqua Community College
English
Github Skills (8)
fuzzy-logic9
nilearn8
nipype7
networkx7
tractography6
optimization5
ensemble-learning5
python2
Programming languages (1)
Github contributions (5)
kunert/DMD_RSN
Feb 2018 - Mar 2019
Contributions:1 release, 15 commits, 1 push in 1 year
kunert/permute-counts
Oct 2020 - Feb 2021
Contributions:1 release, 2 pushes, 1 tag in 4 months
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