William Fulp
Senior Principal Data Scientist
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolWilliam Fulp is a Senior Principal Data Scientist with over 15 years of biostatistics experience specializing in oncology and infectious disease vaccine research, including HIV, COVID, and TB. He builds and scales reproducible R-based analysis pipelines, R packages, Shiny apps, and Quarto/RMarkdown workflows that have been adopted across teams and institutions. A prolific collaborator and author on 125+ peer-reviewed papers, he brings deep expertise in ggplot2, Tidyverse, data.table, survival analysis, and R package development alongside long-standing SAS proficiency. He has repeatedly translated complex laboratory and single-cell assay data into production-ready, well-documented workflows and trained dozens of statisticians to do the same. Based in Seattle and embedded in industry R&D at Bristol Myers Squibb, he pairs technical leadership with hands-on coding and an academic rigor honed at Carnegie Mellon. A less obvious strength is his consistent focus on operationalizing reproducibility—creating templates, version-controlled libraries, and teaching programs that persist beyond individual projects.
11 years of coding experience
3 years of employment as a software developer
B.S., Finance, B.S., Finance at University of South FloridaM.S., Statistics, M.S., Statistics at Carnegie Mellon University
Github Skills (61)
r-package10
r10
data-visualisation10
weighted10
grammar10
tidyverse9
unconf9
data-visualization8
genomics8
bioinformatics8
reproducible-research8
network-analysis8
network-visualization7
shiny7
kableextra7
Programming languages (5)
Github contributions (5)
Systems-Methods/icWGCNA
May 2022 - Jan 2023
R package for Iteratively Corrected Weighted Gene Co-expression Network Analysis
Contributions:8 releases, 1 review, 155 commits in 8 months
r-packageco-expressiontool-dev-projectsgenenetwork-analysis
wfulp/BayesianPredictiveFutility
Jul 2018 - Apr 2019
Contributions:11 pushes in 9 months
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