Specializations
- Science of Science
- Machine Learning and NLP
- Scientific Software
Research Areas
Biography
My research uses novel machine learning, natural language processing, and network analysis techniques to study the development, maintenance, and impact of research software. I am particularly interested in understanding divisions of labor and maintenance-usage imbalance in open source research software ecosystems.
Education
- BS, Informatics, University of Washington, 2017
Publications and Contributions
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Conference Paper(2024)The 2024 ACM Conference on Fairness, Accountability, and Transparency, pp. 1100-1210
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Conference PaperThe Impact of iBuying is About More Than Just Racial Disparities: Evidence from Mecklenburg County, NC (2024)The 2024 ACM Conference on Fairness, Accountability, and Transparency
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Research Report(2023)
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Journal Article, Academic Journal(2023)
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Journal Article, Professional Journal(2023)Journal of Open Source Software, 6(Unknown Issue)
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Conference Paper(2022)ASIS&T Proceedings of the Association for Information Science and Technology
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Journal Article, Academic JournalA deep generative model of 3D single-cell organization (2021)bioRxiv
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Journal Article, Academic JournalCell states beyond transcriptomics: integrating structural organization and gene expression in hiPSC-derived cardiomyocytes (2021)Cell Systems
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Journal Article, Academic Journal(2021)Journal of Open Source Software
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Journal Article, Academic JournalRobust integrated intracellular organization of the human iPS cell: where, how much, and how variable? (2020)bioRxiv
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Conference ProceedingDSDB: Reproducible Computational Modeling. (2019)RO
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Conference ProceedingManaging Manifests and Distributing Datasets. (2019)RO
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Journal Article, Academic JournalRemediating Civic Tech (2018)iConference 2018 Proceedings