Bill Denney
Chief Scientist at Human Predictions
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolBill Denney is a Chief Scientist based in Cambridge, MA with 11 years of experience applying quantitative pharmacokinetics, pharmacodynamics, and clinical modeling to accelerate drug development and optimize trial design. He has led multidisciplinary teams at Merck and Pfizer, delivering modeling-driven decisions that materially impacted program go/no-go and contributed tens of millions in value, and now leads Human Predictions while holding an affiliate faculty role at the University of Maryland. Bill blends deep computational and clinical expertise—implementing automated monitoring and data-quality tooling in phase 1/2 studies—with hands-on open-source work in the R ecosystem, contributing to high-profile packages like dplyr and janitor. Trained as a chemical engineer with a PhD from UPenn, he’s equally comfortable building mechanistic PK/PD models, deploying reproducible analysis pipelines, and mentoring scientists in NLME methods. An underappreciated strength is his track record of integrating IT, regulatory-compliant compute environments, and modeling workflows to accelerate validated, auditable decisions across programs.
11 years of coding experience
8 years of employment as a software developer
BS, Chemical Engineering, BS, Chemical Engineering at Georgia Institute of TechnologyPhD, Chemical and Biomolecular Engineering, PhD, Chemical and Biomolecular Engineering at University of Pennsylvania
English
Stackoverflow
775reputation
43kreached
15answers
13questions
Github Skills (16)
grammar10
data-manipulation10
r10
grammars10
data-cleaning10
tidyverse10
data-analysis10
data-science9
excel8
diff-time6
matlab6
assign6
csv6
plot6
dataframe6
Programming languages (21)
Github contributions (5)
sfirke/janitor
Jun 2018 - Jan 2023
simple tools for data cleaning in R
Role in this project:
Data Scientist
Data ScientistContributions:38 reviews, 75 commits, 74 PRs in 4 years 7 months
Contributions summary:Bill's contributions primarily revolve around enhancing the `janitor` R package, which focuses on data cleaning. The commits demonstrate the addition of new functions, such as `row_to_names()`, for manipulating data frames. The user also implemented functionality for date conversions, particularly for Excel numeric dates, and addressed edge cases and NA handling. The user's work focused on improving the utility of the library for data manipulation, and the addition of unit tests.
spsstabulationsdata-analysistidyverser-package
tidyverse/dplyr
Jun 2018 - Nov 2019
dplyr: A grammar of data manipulation
Role in this project:Back-end Developer
Back-end DeveloperContributions:8 commits, 4 PRs, 61 comments in 1 year 5 months
Contributions summary:Bill contributed to the `dplyr` package by implementing and updating core data manipulation functions. Their work involved linking recoding functions, modifying the `coalesce` and `na_if` functions, and connecting group-by related functions with the `@family` tag for better organization. Additionally, the user made adjustments to address code issues. The user also updated the documentation and merged changes from the master branch.
manipulationpolarsdata-analysisduckdbgrammar
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