Logan Wille
AI Machine Learning Scientist at Thermo Fisher Scientific
Madison, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolLogan Wille is an AI and machine learning scientist in Madison, WI with a decade of experience applying big-data methods to high-impact problems across astrophysics and industry. He earned a PhD in Astrophysics and led development of distributed classification algorithms at IceCube, producing the most accurate measurement of astrophysical tau neutrino flux to date and identifying candidate events in 260 TB of data. At Thermo Fisher he now brings those large-scale ML and statistical modeling skills to commercial products, building robust, production-ready solutions informed by rigorous research practice. Known for turning thorny scientific concerns into actionable models—once demonstrating a theorized effect was negligible—he blends experimental rigor with pragmatic engineering.
10 years of coding experience
10 years of employment as a software developer
University of KansasDoctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at University of Wisconsin-Madison
Github Skills (21)
forge6
minecraft6
launcher5
organize5
javascript4
css4
react4
user-experience4
occlusion3
flood-fill3
jsx3
fill3
electron2
ray2
voxel-engine2
Programming languages (2)
Github contributions (5)
aedanflynn/SideScroller
Jan 2019 - Jan 2019
Contributions:2 pushes, 1 branch in 13 days
aedanflynn/AndroidHW
Feb 2016 - Feb 2016
Contributions:5 pushes, 1 branch in 1 day
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