CV

Professional Experience

  • Senior Developer Relations Engineer
    Anaconda (Oct. 2025 - )
    Act as a technical bridge between Anaconda’s engineering teams and developer community; advocate for and contribute to open source projects
  • Lead Data Scientist III
    Arch Systems | U.S. Administration for Children & Families (Mar. 2025 - Sep. 2025)
    Led the development of AI evaluation frameworks and large-scale document analyses for sensitive populations as part of ACF’s Data Surge Team
  • Data Scientist
    U.S. General Services Administration (Dec. 2024 - Feb. 2025)
    Maintained enterprise data pipelines and provided analytical consulting for federal acquisition analysis
  • Data Operations & Research Manager
    National Parks Conservation Association (Mar. 2023 - Dec. 2024)
    Built enterprise data warehouse; developed automations and ML models supporting a $300M fundraising campaign
  • Head Librarian
    Harvard-Smithsonian Center for Astrophysics (Oct. 2015 - Feb. 2023)
    Managed the world’s largest astrophysics library; secured over $1M in grants for open science and astronomical data preservation work along with software citation initiatives
  • Data and Metadata Librarian
    Cornell University, Weill Cornell Medical College (May 2013 - Sep. 2015)
    Co-instructed graduate-level computational health informatics courses; developed resources to support researchers and establish data management best practices

Education

  • Master of Science in Data Science
    CUNY Graduate School and University Center (Jan. 2018)
    Thesis: Generating Domain-Specific Language Using a Long Short-Term Memory Recurrent Neural Network to Infer Relative Linguistic Complexity Between Astrophysics Sub-Disciplines
  • Master of Science in Library and Information Science
    Syracuse University (May 2013)
  • Graduate Certificate of Advanced Study in Data Science
    Syracuse University (May 2013)
  • Bachelor of Arts in English, Pre-Medicine
    State University of New York at Geneseo (May 2011)
    Minors: Biology, Psychology; Honors: Phi Beta Kappa

Technical Skills

CategoryTechnologies & Tools
Data Science & Machine LearningPython, R, SQL, statistics, experimental design, large-scale data processing and pipeline development, TensorFlow, PyTorch, scikit-learn, Transformers
Large Language Models & AI SafetyPrompt engineering, LLM governance protocols, constitutional AI implementation, red teaming, LLM evaluation frameworks (Promptfoo, DeepEval)
Graph Technologies & Semantic DataNeo4j, cypher, SPARQL, knowledge graphs, semantic data modeling, RDF, JSON-LD, controlled vocabularies, schema design, graph machine learning, network analytics
Cloud InfrastructureAWS (S3, Lambda, ECR, EC2, Redshift, Neptune, SageMaker, CloudWatch), Snowflake, enterprise security and compliance protocols
VisualizationD3.js, Observable, Plotly, ggplot2, Tableau
Development ToolsGitHub, GitLab, Hugging Face, Docker, Claude Code

Awards as Principal Investigator

  • Smithsonian Institution: $270,500
    American Women’s History Initiative
    Credit Where Credit is Due: Undoing the Ongoing Erasure of Women’s Labor in Astronomy (2022 - 2024)
  • Institute of Museum and Library Services: $99,372
    National Leadership Award
    Software Citation Implementation: Action Plan Development (2022 - 2024)
  • Harvard University: $9,994
    Advancing Open Knowledge Program
    The Figures in the Sky Initiative: Elevating Observers of the Night Sky (2021 - 2022)
  • Alfred P. Sloan Foundation: $390,634
    Infrastructure for Open Space Missions (2019 - 2021)
  • National Science Foundation (Co-Principal Investigator): $215,018
    Smithsonian Astrophysical Observatory Latino Initiative Internship Program (2017 - 2022)
  • Smithsonian Institution: $11,740
    Smithsonian Women’s Committee
    Conservation and Promotion of Astronomical Heritage (2017 - 2019)
  • American Astronomical Society: $3,947
    Professional Development Through Access to Diverse Viewpoints (2017 - 2018)
  • Medical Library Association: $1,000
    NY-NJ Chapter Research Award
    Data Literacy in Biomedical Research Environments (2015)

Mentorship and Volunteering

Professional Development and Certifications

Professional Activities and Commitee Service

  • National Parks Conservation Association - Community Engagement Working Group (2023 - 2024)
  • Harvard University - Special Collections and Archives Council Leadership Group (2022 - 2023), Science Libraries Council (2016 - 2023) - Chair (2018 - 2019), Stewardship Standing Committee (2016 - 2018)
  • Smithsonian Institution - Arts and Industries Building Committee (2022 - 2023), American Women’s History Initiative Curatorial Committee (2017 - 2023)
  • NASA SmallSat Reliability Initiative (2020 - 2023)
  • arXiv Next Generation IT Advisory Group (2018 - 2023)
  • Smithsonian Astrophysical Observatory (SAO) SAO Council (2018 - 2021) - Chair (2019 - 2021)
  • Society for the History of Astronomy Member (2018 - 2023)
  • Software Preservation Network Member (2018 - 2023), Steering Committee (2018 - 2020)
  • Harvard-Smithsonian Center for Astrophysics Scientific Computation Advisory Committee (2017 - 2023)
  • FORCE11 Software Citation Implementation Working Group (2017 - 2023)
  • American Astronomical Society History of Astronomy Division (2016 - 2023)
  • Unified Astronomy Thesaurus Steering Committee (2015 - 2023)
  • Special Library Association Physics Astronomy Math Division (2015 - 2023)
  • Cornell University Medical Library Communications Committee - Co-Chair (2014 - 2015)

Publications

Whitten, K., Boegen, L., Levine, S., Osborn, W., Griffin, E., Barker, T., Bartlett, J., Bouquin, D., Smith-Zrull, L., Kern, B. (2024). Astronomy’s Photographic Glass Plates: Demonstrating Value Through Use Cases. Issues in Science and Technology Librarianship, 105. https://doi.org/10.29173/istl2759

Bouquin, D., Trisovic, A., Bertuch, O., Colón-Marrero, E. (2023). Advancing Software Citation Implementation. arXiv. https://doi.org/10.48550/arXiv.2302.07500

Carver, N., Correia, S., Frey, K., Bouquin, D., & McEachern, M. (2022). Embracing the Crowd: People-powered Research to Preserve the History of Astronomy. Bulletin of the American Astronomical Society, 54(2). https://doi.org/10.3847/25c2cfeb.3e8f7cf7

Bouquin, D., Carver, N., Frey, K., Williams, A., Damkalis, A.-P., Papadeas, P., & Tsiligiannis, V. (2022). LSTN: The Library Space Technology Network. Bulletin of the American Astronomical Society, 54(2). https://doi.org/10.3847/25c2cfeb.e5818322

Katz D.S., Chue Hong N.P., Clark T., Muench, A., Stall, S., Bouquin, D., Cannon, M., Edmunds, S., Faez, T., Feeney, P., Fenner, M., Friedman, M., Grenier, G., Harrison, M., Heber, J., Leary, A., MacCallum, C., Murray, H., Pastrana, E., Perry, K., Schuster, D., Stockhause, M., Yeston. (2020). The importance of software citation. F1000Research. https://doi.org/10.12688/f1000research.26932.2

Carver, N., Bouquin, D., & Frey, K. (2020). LSTN Handbook (1.0) Zenodo. https://doi.org/10.5281/zenodo.3776518

Bouquin, D., Chivvis, D., Henneken, E., Lockhart, K., Muench, A., Koch, J. (2020). Credit Lost: Two Decades of Software Citation in Astronomy. The Astrophysical Journal Supplement Series: ApJS, 249(8). https://doi.org/10.3847/1538-4365/ab7be6

Albert, K., Bouquin, D., Farber, A., Hoover, R. (2019). The Copyright Guide for Scientific Software. https://doi.org/10.5281/zenodo.3581326

Bouquin, D., Muench, A., Cruz, K., Chivvis, D., & Hennek, E. (2019). Citing Astronomy Software [blog]. AstroBetter. https://perma.cc/DS73-5BZE

Katz, D. S., Bouquin, D., Chue Hong, N. P., Hausman, J., Jones, C., Chivvis, D., … Zhang, Q. (2019). Software Citation Implementation Challenges [FORCE11 report]. https://arxiv.org/abs/1905.08674

Bouquin, D., Hou, S., Benzing, M., Wilson, L. (2019). Jupyter Notebooks: A Primer for Curators (v1.0). DCN Data Curation Primers. http://doi.org/10.5281/zenodo.2591580

Katz, D., Bouquin, D., Chue Hong, N. (2019). Towards Software Non-Creator-Instigated Identification (NCI) and Citation [blog]. https://perma.cc/L2ZZ-M78X

Bouquin, D., Frey, K., Henneken, E., McEachern, M., McGrath, A., Guarracino, D., Koch, J., Damon, J., Brownell, E., Zrull, L. S. (2018). Project PHaEDRA: Preserving Harvard’s Early Data and Research in Astronomy. Proceedings of the American Astronomical Society, 231, id. 143.03. https://ui.adsabs.harvard.edu/abs/2018AAS…23114303B

Bouquin, D., Ball, C., Lamprecht, A., Jones, C., Skluzacek, T. (2018). Abandon hope, we are archiving things we can’t use: considerations for documenting complex objects [blog]. Software Sustainability Institute: WSSSPE6.1. https://perma.cc/G42X-DZ5H

Bouquin, D., Katz, D., Henneken, E., Muench, A., Frey, K., Smith, A. (2018). Software Citation Implementation in Astronomy [whitepaper]. Astronomy Computing Today. https://perma.cc/2ZNC-YUNM

Gordon, I. E., Bouquin, D., Potterbusch, M. R., Erdmann, C. C., Wilzewski, J. S., and Rothman, L. S. (2016). Are your spectroscopic data being used? Journal of Molecular Spectroscopy, 327, 232-238. http://doi.org/10.1016/j.jms.2016.03.011

Richardson, J. E., Bouquin, D. R., Tmanova, L. L., Wright, D. (2015). Information and informatics literacies of first-year medical students. Journal of the Medical Library Association: JMLA, 103(4), 198–202. http://doi.org/10.3163/1536-5050.103.4.008

Bouquin, D. (2015). GitHub. Journal of the Medical Library Association: JMLA, 103(3), 166–167. http://doi.org/10.3163/1536-5050.103.3.019

Halpern, S., Eaker, C., Jackson, J., Bouquin, D. (2015). #DitchTheSurvey: Expanding Methodological Diversity in LIS Research. In the Library with the Lead Pipe. https://perma.cc/X3DT-FBSE

Selected Presentations

Bouquin, D. (2024). Metadata, Meaning, and Erasure in Astronomy. Presented as SUNY Geneseo’s 2024 Phi Beta Kappa Lecture. Geneseo, NY. https://perma.cc/QDY4-2EG5

Bouquin, D. (2021). How to Lose a Legacy. Presented virtually at the Space Telescope Science Institute’s Engineering and Technology Colloquium. https://slides.com/dbouquin/stsci-2021

Bouquin, D., Chivvis, D., Carver, N. (2019). Metasat: Open Metadata for Small Satellite Missions. Presented at the Committee on Space Research (COSPAR) Symposium: Small Satellites for Sustainable Science and Development. Herzliya, Israel. https://slides.com/dbouquin/cospar_2019

Bouquin, D. (2019). MetaSat: Metadata for Good. Presented at the 9th Annual GNU Radio Conference. Huntsville, Alabama, USA. https://perma.cc/9B6M-GDDV

Bouquin, D. (2019). Legacy: Preservation and Scientific Software. Colloquium presentation at Greenbank Observatory. Greenbank, West Virginia, USA. https://slides.com/dbouquin/greenbank_2019

Bouquin, D. (2019). Acknowledging Scientific Software to Ensure the Future and Legacy of Scientific Research. Presented at the Society for Industrial and Applied Mathematics (SIAM) Conference on Computational Science and Engineering. Spokane, Washington, USA. https://perma.cc/N3CW-K76C

Bouquin, D., Chivvis, D. (2019). Software Citation Implementation in Astronomy: An Update. Presented at the 233rd Meeting of the American Astronomical Society. Seattle, Washington, USA. https://slides.com/dbouquin/aas_233

Bouquin, D. (2018). Stochastic Gradient Boosting Machines: Core Concepts. Presented at the Chandra X-Ray Observatory Symposium: Classification in the Golden Era of X-ray Catalogs. Cambridge, Massachusetts, USA. https://slides.com/dbouquin/sgbm

Bouquin, D. (2018). Considerations for Sharing and Preserving Research Software and Data. Presented at the 15th International High-Resolution Transmission Molecular Absorption Database Conference (HITRAN). Cambridge, Massachusetts, USA. https://perma.cc/FSH9-7J2T

Bouquin, D., Frey, K., McEachern, M., Damon, J., Guarracino, D., McGrath, A., Henneken, E., Smith-Zrull, L. (2018). Project PHAEDRA: Preserving Harvard’s Early Data and Research in Astronomy. Presented at the 8th International Library and Information Services in Astronomy Conference: Astronomy Librarianship in the Era of Big Data and Open Science. Strasbourg, France. https://doi.org/10.1051/epjconf/201818607003

Bouquin, D., DeBlase, J. (2017). Beautiful Graphs Made Simpler with Jupyter. Presented at JupyterCon 2017. New York, NY. https://pyvideo.org/jupytercon-2017/beautiful-networks-and-network-analytics-made-simpler-with-jupyter-daina-bouquin-john-deblase.html

Bouquin, D. (2016). Libraries for Astronomers. Presented at dotAstronomy 8: University of Oxford. Oxford, UK. http://slides.com/dbouquin/libraries-for-astronomers

Last updated on September 8, 2025