Scholarly infrastructure
Repositories, publishing platforms, open-access models, preservation, and the institutional systems that sustain the scholarly record.
Research
Making scholarship more reproducible, durable, and useful.
I study research infrastructure as a connected system—from computational workflows and data standards to repositories, publishing platforms, governance, and the communities responsible for them.
Research statement
The method does not end when the computation finishes.
Scientific knowledge depends on a chain of systems and decisions that is often treated as invisible: how data are described, how software is preserved, how workflows are recorded, how credit is assigned, and how research moves into the scholarly record.
My research makes that chain visible and then asks how it can be improved. I am interested in infrastructure that carries evidence and context across disciplinary and institutional boundaries—especially infrastructure that supports verification, responsible reuse, and long-term stewardship.
This work grows from my background in computational biology and software engineering. Problems I first encountered in genomics—fragmented data, unrecorded methods, fragile software environments, and disconnected publications—are now central to my work in research data and scholarly communication.
Core themes
Four layers of the same problem.
Reproducibility
Executable workflows, software environments, provenance, benchmarks, research objects, and links between computation and publication.
FAIR and AI-ready data
Biocuration, metadata, persistent identifiers, data relationships, quality, documentation, and responsible machine use.
Trust and security
Cyberbiosecurity, research integrity, controlled access, data provenance, and resilient systems for sensitive scientific work.
Community infrastructure
Standards work is research work.
Shared vocabularies, identifiers, and conventions are not administrative details. They determine whether data can be discovered, combined, interpreted, and trusted.
I contribute to community efforts in agricultural data, biodiversity genomics, scientific literature, and responsible data use. This includes work with AgBioData, i5k, the Research Data Alliance, BIO-ISAC, and community groups developing guidance for genome assembly nomenclature and FAIR scientific literature.
Selected publications and outputs
Recent work.
This is a selected list. The complete, maintained record is available through ORCID.
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2026
DOI
Toward standardization in arthropod and biodiversity genome projects
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2025
DOI
Guidelines for gene and genome assembly nomenclature
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2025
DOI
AgBioDatabase Finder: an online tool to help researchers find and submit agricultural genomic, genetic, and breeding data
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2025
Report
System Security Assessment Plan Template
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2024
DOI
FAIR Header Reference genome: a TRUSTworthy standard
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2024
DOI
otb: an automated HiC/HiFi pipeline assembles the Prosapia bicincta genome
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2022
DOI
met v1: expanding on old estimations of biodiversity from eDNA with a new database framework
From questions to systems
Interested in building something together?
I am available for collaborative projects, student supervision, advisory work, research-data and repository planning, standards development, and research infrastructure design.