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
-
Research Report
-
Journal Article, Academic Journal
-
Journal Article, Professional JournalSpeakerbox: Few-Shot Learning for Speaker Identification with Transformers (2023)Journal of Open Source Software, 6(Unknown Issue)
-
Conference PaperCouncils In Action: An Automated Approach to Curating Municipal Governance Data for Research (2022)ASIS&T Proceedings of the Association for Information Science and Technology
-
Journal Article, Academic JournalA deep generative model of 3D single-cell organization (2021)bioRxiv
-
Journal Article, Academic JournalCell states beyond transcriptomics: integrating structural organization and gene expression in hiPSC-derived cardiomyocytes (2021)Cell Systems
-
Journal Article, Academic JournalCouncil Data Project: Software for Municipal Data Collection, Analysis, and Publication (2021)Journal of Open Source Software
-
Journal Article, Academic JournalRobust integrated intracellular organization of the human iPS cell: where, how much, and how variable? (2020)bioRxiv
-
Conference ProceedingDSDB: Reproducible Computational Modeling. (2019)RO
-
Conference ProceedingManaging Manifests and Distributing Datasets. (2019)RO
-
Journal Article, Academic JournalRemediating Civic Tech (2018)iConference 2018 Proceedings