Andrew Le
Project Manager at Fred Hutch
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolAndrew Le is a project manager and administrative operations specialist with 12 years of experience optimizing research and clinical support functions at Fred Hutchinson Cancer Center and Swedish Health. He combines an MBA in Healthcare Management with a BS in Microbiology to bridge scientific workflows and institutional logistics, notably managing a multimillion-dollar cryogenic storage program of 200+ freezers and coordinating capital equipment prioritization. Skilled in digital communications and vendor/contracts administration, he has led website development and large-scale stakeholder communications that improved space efficiency and emergency preparedness. Known for translating technical lab needs into actionable operational plans, he brings a pragmatic, data-informed approach to resource allocation and cross-functional coordination in high-stakes research environments.
12 years of coding experience
Bachelor of Science (BS), Microbiology, General, Bachelor of Science (BS), Microbiology, General at University of WashingtonMaster of Business Administration - MBA, Business Administration and Management, General, Master of Business Administration - MBA, Business Administration and Management, General at Western Governors University
Vietnamese
Github Skills (67)
cox-regression10
python10
prediction10
forecast10
statistics10
econometrics10
regression-models10
statsmodels10
generalized-linear-models10
data-science10
hypothesis-testing10
statistical-models10
data-analysis10
survival-analysis10
forecasting10
Programming languages (5)
Github contributions (5)
agartland/SIEVE
Aug 2015 - Feb 2017
Contributions:3 PRs, 41 pushes, 7 branches in 1 year 6 months
statisticsvaccinestatisticalefficacyexplorer
agartland/hierdiff
May 2020 - Mar 2024
A package that is useful for clustering high-dimensional instances (e.g. T cell receptors) and testing whether clusters of instances are differentially abundant in two or more categorical conditions. The package provides d3/SVG rendering of scipy hierarchical clustering dendrograms with zooming, panning and tooltips. This uniquely allows for exploring large trees of datasets, conditioned on a categorical trait.
Contributions:6 PRs, 40 pushes, 4 branches in 3 years 10 months
traitk-meansclustershierarchicalscipy
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