Tyler Biggs
Data And Strategy Associate
Pullman, Washington, United States
Summary
👤
Senior🎓
Top SchoolTyler Biggs is a data and strategy associate with a PhD in organic chemistry and nine years of applied research experience translating large, heterogeneous datasets into actionable insights for science and institutional planning. He combines deep bioinformatics and experimental-design expertise with practical software skills—Python, Docker, Git, CI/CD—and has built and contributed to workflows like GEMmaker and the Pynome genome-preparation pipeline. Tyler has deployed GLMs, custom hierarchical Bayesian models, and ML approaches for hypothesis generation and causal inference, then communicated complex results to stakeholders across academia, industry, and commodity groups. Recently transitioned into institutional research and planning, he’s applying high-level scientific methods to forecasting and strategy while retaining a hands-on knack for automating end-to-end analytics. An often-overlooked strength is his track record in integrating computational workflows with domain-specific experiments (e.g., NGS/RNA-seq and untargeted metabolomics), enabling research that directly informs decision-making.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at Washington State University
English
Github Skills (34)
feature-selection10
gene-expression10
genomics10
jupyter9
bokeh9
visualization9
matrix9
data-visualisation9
bioinformatics9
ipywidgets9
pyodide8
python8
browser8
javascript8
holoviews8
Programming languages (5)
Github contributions (5)
biggstd/biggstd.github.io
Oct 2019 - Jun 2024
Contributions:53 pushes, 1 branch in 4 years 9 months
SystemsGenetics/GSForge
Oct 2019 - Sep 2021
A gene (feature) selection toolset for gene expression matrix (GEM) data.
Contributions:3 releases, 458 commits, 3 PRs in 1 year 10 months
gene-expressiongenomicsbioinformaticsselectiongem
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