Kevin Bonham
Assistant Professor at Tufts Medical Center
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolKevin Bonham is an assistant professor and computational biologist with 11 years of experience applying machine learning and multi-omic integration to understand microbial communities, child cognitive development, and Long-COVID. Trained as an immunologist (PhD, Harvard), he blends wet‑lab insight with high-performance scientific programming to build robust analysis pipelines and open-source tools. His contributions to major Julia projects, including the Julia language and DataFrames.jl, reflect deep back-end and QA expertise in performant data manipulation. At Tufts and prior institutes like the Broad, he has translated complex experimental designs into reproducible computational workflows that reveal immune‑microbiome interactions. Known for an interest in fermented foods and microbes, he couples curiosity-driven questions with production-ready code and a pragmatic sense of software licensing humor.
11 years of coding experience
10 years of employment as a software developer
University of California San DiegoDoctor of Philosophy (Ph.D.), Immunology, Doctor of Philosophy (Ph.D.), Immunology at Harvard University
English
Stackoverflow
1,030reputation
48kreached
13answers
28questions
Github Skills (19)
programming-language10
testing10
dataframes10
data-structure10
dataframe10
data-structures10
julia10
data-analysis10
numerical9
datatable9
tabular9
datatables9
science8
type-conversion6
html6
Programming languages (24)
Github contributions (5)
JuliaData/DataFrames.jl
Aug 2018 - Nov 2020
In-memory tabular data in Julia
Role in this project:
Back-end Developer
Back-end DeveloperContributions:45 reviews, 5 commits, 7 PRs in 2 years 3 months
Contributions summary:Kevin primarily contributed to the `dataframes.jl` repository by implementing and improving core functionality. Their work included adding matrix conversion methods, implementing `permutedims` functionality, and addressing issues related to zero values after decimals. They also updated existing tests to accommodate these changes and address edge cases. This suggests a focus on enhancing the data manipulation capabilities of the library.
memorydataframesdatatabular-datadata-frame
JuliaLang/julia
Oct 2018 - Dec 2022
The Julia Programming Language
Role in this project:Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:2 reviews, 8 commits, 2 PRs in 4 years 2 months
Contributions summary:Kevin primarily contributed to the Julia programming language by implementing and testing new functionalities related to `NamedTuple` and the `isnothing` function. Their work involved adding methods, modifying existing code, and writing associated tests to ensure the correct behavior. They also fixed typos and added compat notices to maintain the project's quality and documentation.
sciencejulia-languagemachine-learningjulialangpetsc
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