Publications

Here is a select list of my data science education and applied data science publications:

Works in progress

  • Lopez-Miranda, A. E., Timbers, T., & Alexander, R. (2025). Prompting the Professoriate: A Qualitative Study of Instructor Perspectives on LLMs in Data Science Education. arXiv preprint arXiv:2509.12283. [link]

Peer-reviewed publications

  • Sheng, K., Foris, B., von Keyserlingk, M. A., Timbers, T. A., Cabrera, V., & Weary, D. M. (2025). Redefining lameness assessment: Constructing lameness hierarchy using crowd-sourced data. Computers and Electronics in Agriculture, 234, 110206. [link]

  • Ostblom, J., & Timbers, T. (2022). Opinionated practices for teaching reproducibility: motivation, guided instruction and practice. Journal of Statistics and Data Science Education, 30(3), 241-250. [link]

  • Ardiel, E., McDiarmid, T., Timbers, T., Lee, K., Safaei, J., Pelech, S., & Rankin, C. (2018). Insights into the roles of CMK-1 and OGT-1 in interstimulus interval-dependent habituation in Caenorhabditis elegans. Proceedings of the Royal Society B, 285(1891), 20182084. [link]

  • Timbers, T., Garland, S., Mohan, S., Flibotte, S., Edgley, M., Muncaster, Q., … & Leroux, M. (2016). Accelerating gene discovery by phenotyping whole-genome sequenced multi-mutation strains and using the sequence kernel association test (SKAT). PLoS Genetics, 12(8), e1006235. [link]

  • Babaian, A., Drögemöller, B., Grande, B.M., Jackman, S.D., Lee, A.H., Lin, S., Loucks, C., Suarez-Gonzalez, A., Timbers, T. and Wright, G. (2017). hackseq: Catalyzing collaboration between biological and computational scientists via hackathon version 1; referees: awaiting peer review. F1000 Research, Hackathons channel. doi: 10.12688/f1000research.10964.1 [link]

Books

  • Timbers, T., Campbell, T., Lee, M., Ostblom, J., & Heagy, L. (2024). Data Science: A First Introduction with Python (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781003438397

  • Timbers, T., Campbell, T., & Lee, M. (2022). Data Science: A First Introduction (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781003080978

  • Beuzen, T., & Timbers, T. (2022). Python Packages (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781003189251