Logan Morrison is a Senior Computational Biologist with nine years of experience transitioning from theoretical high-energy particle physics to computational biology and machine learning. He combines deep expertise in physics, mathematics, and numerical analysis with practical software engineering to build tools that explore high-dimensional parameter spaces and compute particle spectra for dark matter models. At 10x Genomics he applies this interdisciplinary skill set to biologically relevant computational problems after leading ML-driven dark matter research and developing widely used Python packages during his PhD and postdoc. Logan is known for shipping reproducible research software, mentoring students at scale, and tackling problems that bridge fundamental physics and applied data science. Outside the lab he balances technical curiosity with hiking, snowboarding, and caring for his Australian Shepherds.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.), Physics and Mathematics, 3.97/4.0, Magna Cum Laude, Bachelor of Science (B.S.), Physics and Mathematics, 3.97/4.0, Magna Cum Laude at Western Washington University
University of California Santa Cruz
Associate of Arts (A.A.), Physics and Mathematics, Associate of Arts (A.A.), Physics and Mathematics at Whatcom Community College
Python package for computing indirect detection constraints on sub-GeV dark matter.
Contributions:11 releases, 268 commits, 7 PRs in 5 years
pythongevnumbamatterindirect
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