Jonathan Rees
Research Affiliate
Salem, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJonathan Rees is a research-oriented software engineer and data architect with over three decades of technical depth and eight years focused on biodiversity informatics and taxonomy. He bridges biology and computation—designing data formats, curation workflows, and federated publishing systems—while assessing how taxonomic change ripples through datasets at Arizona State University. Jonathan’s background spans probabilistic language interpreters at MIT, large-scale semantic web and linked-data projects at Creative Commons and W3C, and leadership on the Open Tree of Life synthesis at Duke. He combines rigorous academic training (PhD, MIT) with a pragmatic “don’t do anything someone else can do” ethos, favoring interoperable, reusable infrastructure that amplifies biological research. An unusual strength is his track record of building federated, high-scale knowledge systems (including half-billion triple RDF stores) that make messy scientific data actionable.
8 years of coding experience
20 years of employment as a software developer
PhD Electrical Engineering and Computer Science, PhD Electrical Engineering and Computer Science at Massachusetts Institute of TechnologyBS Computer Science Mathematics, BS Computer Science Mathematics at Yale University
English, French
Github Skills (17)
meta9
database-table9
querying8
probabilistic8
embedded-language8
probabilistic-programming8
machine-learning7
bayesian7
embedded6
clojure6
data-science6
databases4
sql4
database4
sqlite3
Programming languages (2)
Github contributions (5)
probcomp/metaprob
Dec 2017 - Aug 2018
An embedded language for probabilistic programming and meta-programming.
Contributions:10 commits, 6 PRs, 21 pushes in 7 months
meta-programmingembedded-languagedata-sciencemetamachine-learning
probcomp/probcomp-stack
Jul 2017 - Aug 2017
Contributions:1 PR, 5 pushes, 1 branch in 1 month
pythonsoftware-stackmachine-learningprobabilisticcomputing
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