Jacob Evarts
Doctoral Student at University of Washington
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolJacob Evarts is a computational biologist and PhD candidate at the University of Washington who blends machine learning with agent-based modeling to quantify emergent behaviors in biological systems. With eight years of experience spanning undergraduate research and teaching, he has built data pipelines to predict prion-like states and taught genetics and bench techniques, grounding his computational work in experimental understanding. Trained in Computer and Information Science with a computational biology focus, he bridges algorithmic rigor and biological insight to tackle complex, multiscale dynamics. Based in Seattle, he brings both hands-on modeling expertise and a track record of translating noisy biological data into predictive systems—often revealing unexpected population-level behaviors from single-cell rules.
9 years of coding experience
2 years of employment as a software developer
Computer and Information Science, Computational Biology, Computer and Information Science, Computational Biology at University of Oregon
Github Skills (7)
arcade6
simulation1
agent-based-modeling1
agent1
visualization1
scale1
sampling1
Programming languages (2)
Github contributions (5)
jacob-evarts/well_compare_96
Jul 2020 - Jun 2021
Contributions:9 commits, 30 pushes, 1 branch in 10 months
jacob-evarts/mnist-nn-cpp
Apr 2020 - Jul 2024
Contributions:5 pushes, 1 branch in 4 years 3 months
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