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Stuart Chalk

Professor of Chemical Informatics

 https://orcid.org/0000-0002-0703-7776

Personal profile

Professional Overview

Dr. Stuart J. Chalk is a Professor in the Department of Chemistry at the University of North Florida. Although trained as an analytical chemist, Dr. Chalk’s research now focuses on the areas of Chemical Informatics and Data Science.  In particular, Dr. Chalk has projects focused on machine accessibility of solubility, online enhancements to the IUPAC Gold Book, automated extraction and annotation of chemical property data from PDF files, and scientific data models.

Dr. Chalk received an NSF funded grant in 2019 focusing on semantic integration of heterogeneous datasets from toxicology, medicine, materials, biodiversity, and chemistry. His latest project, “KnowLedger” a digital research management tool, was funded by the National Science Foundation (NSF) in August 2024.

Education/Academic qualification

Analytical Chemistry, Ph.D., Flow Injection Analysis using novel methods of reagent introduction, University of Massachusetts Amherst

Aug 1 1989 → Aug 1 1994

Award Date: Aug 1 1994

ASJC Scopus Subject Areas

  • Analytical Chemistry
  • Chemical Informatics
  • Data Science

  • Blockchain technology: driving change in the scientific research workflow

    Lawlor, B., Chalk, S., Frey, J., Hayashi, K., Kochalko, D., Shute, R. & Sopek, M., Apr 1 2025, In: Pure and Applied Chemistry. 97, 4, p. 279-330 52 p.

    Research output: Contribution to journal › Review article › peer-review

    Open Access

  • FAIRSpec-ready spectroscopic data collections - advice for researchers, authors, and data managers (IUPAC Technical Report)

    Archibald, M., Bruno, I., Chalk, S., Davies, A. N., Hanson, R. M., Kuhn, S., Lancashire, R. J. & Rzepa, H. S., Nov 1 2025, In: Pure and Applied Chemistry. 97, 11, p. 1479-1510 32 p.

    Research output: Contribution to journal › Article › peer-review

  • Biological research and self-driving labs in deep space supported by artificial intelligence

    Sanders, L. M., Scott, R. T., Yang, J. H., Qutub, A. A., Garcia Martin, H., Berrios, D. C., Hastings, J. J. A., Rask, J., Mackintosh, G., Hoarfrost, A. L., Chalk, S., Kalantari, J., Khezeli, K., Antonsen, E. L., Babdor, J., Barker, R., Baranzini, S. E., Beheshti, A., Delgado-Aparicio, G. M. & Glicksberg, B. S. & 36 others, Greene, C. S., Haendel, M., Hamid, A. A., Heller, P., Jamieson, D., Jarvis, K. J., Komarova, S. V., Komorowski, M., Kothiyal, P., Mahabal, A., Manor, U., Mason, C. E., Matar, M., Mias, G. I., Miller, J., Myers, J. G., Nelson, C., Oribello, J., Park, S. M., Parsons-Wingerter, P., Prabhu, R. K., Reynolds, R. J., Saravia-Butler, A., Saria, S., Sawyer, A., Singh, N. K., Snyder, M., Soboczenski, F., Soman, K., Theriot, C. A., Van Valen, D., Venkateswaran, K., Warren, L., Worthey, L., Zitnik, M. & Costes, S. V., Mar 2023, In: Nature Machine Intelligence. 5, 3, p. 208-219 12 p.

    Research output: Contribution to journal › Review article › peer-review

    Open Access

  • Biomonitoring and precision health in deep space supported by artificial intelligence

    Scott, R. T., Sanders, L. M., Antonsen, E. L., Hastings, J. J. A., Park, S. M., Mackintosh, G., Reynolds, R. J., Hoarfrost, A. L., Sawyer, A., Greene, C. S., Glicksberg, B. S., Theriot, C. A., Berrios, D. C., Miller, J., Babdor, J., Barker, R., Baranzini, S. E., Beheshti, A., Chalk, S. & Delgado-Aparicio, G. M. & 36 others, Haendel, M., Hamid, A. A., Heller, P., Jamieson, D., Jarvis, K. J., Kalantari, J., Khezeli, K., Komarova, S. V., Komorowski, M., Kothiyal, P., Mahabal, A., Manor, U., Garcia Martin, H., Mason, C. E., Matar, M., Mias, G. I., Myers, J. G., Nelson, C., Oribello, J., Parsons-Wingerter, P., Prabhu, R. K., Qutub, A. A., Rask, J., Saravia-Butler, A., Saria, S., Singh, N. K., Snyder, M., Soboczenski, F., Soman, K., Van Valen, D., Venkateswaran, K., Warren, L., Worthey, L., Yang, J. H., Zitnik, M. & Costes, S. V., Mar 2023, In: Nature Machine Intelligence. 5, 3, p. 196-207 12 p.

    Research output: Contribution to journal › Review article › peer-review

    Open Access

  • Chemical data evaluation: General considerations and approaches for IUPAC projects and the chemistry community (IUPAC Technical Report)

    Shaw, D. G., Bruno, I., Chalk, S., Hefter, G., Hibbert, D. B., Hutchinson, R. A., Magalhães, M. C. F., Magee, J., McEwen, L. R., Rumble, J., Russell, G. T., Waghorne, E., Walczyk, T. & Wallington, T. J., Oct 1 2023, In: Pure and Applied Chemistry. 95, 10, p. 1107-1120 14 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
View all 32 Research outputs
View all 26 datasets