Alexander Fields

Member Of Technical Staff at Radical Numerics

California, United States
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Summary

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Senior
🎓
Top School
Alexander Fields is a director-level bioinformatics and ML/AI leader with 11 years of experience translating quantitative biology into production-ready data science at companies like GRAIL and Moonwalk Biosciences. Trained as a biophysicist (PhD, Harvard) with early hands-on fluorescence and chemical synthesis work at Stanford, he bridges experimental design and computational modeling to extract biological insight from large sequencing and spectroscopy datasets. He has a track record of developing mathematical frameworks—drawing on statistical mechanics, Bayesian methods, and machine learning—to both interpret experiments and drive product analytics. Comfortable leading cross-disciplinary teams, he scales rigorous research into deployable pipelines and models for functional genomics and molecular diagnostics. An underappreciated strength is his ability to move between bench experiments and probabilistic theory, enabling tighter feedback between data collection and model-driven hypothesis testing.
code11 years of coding experience
job13 years of employment as a software developer
bookDoctor of Philosophy (PhD), Biophysics, Doctor of Philosophy (PhD), Biophysics at Harvard University
bookBachelor of Science (BS), Chemistry, Bachelor of Science (BS), Chemistry at Stanford University
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Github Skills (14)

statistics10
python10
data-analysis10
data-science9
profiling9
data-structure9
machine-learning9
pandas9
data-structures9
algorithms8
scikit-learn8
scientific-computing7
scipy7
rust2

Programming languages (1)

Python

Github contributions (5)

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alexfields/multiisotonic

Nov 2015 - Mar 2017

Multidimensional isotonic regression
Contributions:10 commits, 6 pushes, 1 branch in 1 year 4 months
alexfields/ORF-RATER

Aug 2015 - Jan 2018

Regression-based annotation of protein-coding sequences from ribosome profiling data
Contributions:64 commits, 21 pushes, 3 branches in 2 years 4 months
profiling
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