Mark Diggory is a seasoned operations and technology leader with 23 years of experience architecting and running open-source digital library and repository systems, currently heading US operations for Atmire. He blends hands-on backend engineering (notably contributions to the flagship DSpace institutional repository and Apache Commons Math) with production Linux systems administration and release rollout expertise honed at MIT, Harvard, and the World Bank. Mark excels at designing low-maintenance, community-friendly solutions—rewiring build systems and reducing long-term maintenance overhead—while mediating client and developer expectations across international projects. His work spans semantic web, metadata/ontological engineering, and statistical tooling, reflecting a rare mix of academic, research, and enterprise delivery experience rooted in open standards.
22 years of coding experience
11 years of employment as a software developer
Computational and Computer Science, Computational and Computer Science at San Diego State University
Bachelors Biology Graphic Arts, Bachelors Biology Graphic Arts at State University of New York at Oswego
(Official) The DSpace digital asset management system that powers your Institutional Repository
Role in this project:
Back-end Developer
Contributions:5 reviews, 1016 commits, 1 PR in 7 years 2 months
Contributions summary:Mark primarily contributed to the core back-end functionality of the DSpace digital asset management system. Their work involved modifying the DSIndexer class, indicating involvement in indexing and search functionalities, in addition to contributions which allowed the re-implementation of core patches. Furthermore, the contributions include fixes regarding handle resolutions and the license cleanup.
Contributions summary:Mark primarily focused on implementing and testing statistical methods within the Apache Commons Math library. The commits demonstrate work on implementing tests for the hypergeometric distribution and bivarite regression model, and adding new statistical capabilities. Additionally, the user contributed to the restructuring of data structures, which suggests expertise in the underlying mathematical concepts and algorithms.
mathematicspolynomialfittingroot-findingstat
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