About

I’m a Health Data Scientist in the Research Department at the Boise VA Medical Center. My Ph.D. training was in cognitive science and neuroscience and includes expertise in building statistical and machine learning models, and creating and managing databases. I’ve applied these skills over the course of my career in various capacities: (1) as a research scientist at several academic institutions studying language learning, (2) doing organizational science in industry, and (3) at the U.S. Department of Veterans Affairs working on biomedical studies.


Jeremy Boyd, Ph.D.

Education

Employment

Publications

1. Taylor, I., Boyd, J. K., & Ammons, M. C. B. (2024). Genetic and social determinants of Long COVID among Idaho veterans. Manuscript in Preparation.
2. Anders, C. B., Boyd, J. K., & Ammons, M. C. B. (2024). Predicting wound healing: A machine learning partial least squares discriminant analysis model utilizing microbiome, metabolome, and clinical marker data sets. Manuscript in Preparation.
3. Madaras-Kelly, K., Boyd, J. K., & Bond, L. (2024). A comparative effectiveness analysis of telehealth versus primary care and the impact of urine culture collection on outcome in patients with urinary tract infections. Manuscript Submitted for Publication.
4. Madaras-Kelly, K., Boyd, J. K., & Bond, L. (2024). Comparative effectiveness of oral antibiotics to treat urinary tract infections in male and female outpatients. Manuscript Submitted for Publication.
5. Goldberg, A. E., & Boyd, J. K. (2015). A-adjectives, statistical preemption, and the evidence: Reply to Yang (2015). Language, 91(4), e184–e197. https://muse.jhu.edu/pub/24/article/604092
6. Scudder, M. R., Federmeier, K. D., Raine, L. B., Direito, A., Boyd, J. K., & Hillman, C. H. (2014). The association between aerobic fitness and language processing in children: Implications for academic achievement. Brain and Cognition, 87, 140–152. https://doi.org/10.1016/j.bandc.2014.03.016
7. Boyd, J. K. (2014). Statistical pre-emption. In P. J. Brooks & V. Kempe (Eds.), Encyclopedia of Language Development (pp. 608–610). SAGE Publications. https://us.sagepub.com/en-us/nam/encyclopedia-of-language-development/book239623
8. Boyd, J. K., Ackerman, F., & Kutas, M. (2012). Adult learners use both entrenchment and preemption to infer grammatical constraints. 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), 1–2. https://doi.org/10.1109/DevLrn.2012.6400820
9. Boyd, J. K., & Goldberg, A. E. (2012). Young children fail to fully generalize a novel argument structure construction when exposed to the same input as older learners. Journal of Child Language, 39(3), 457–481. https://doi.org/10.1017/S0305000911000079
10. Wonnacott, E., Boyd, J. K., Thomson, J., & Goldberg, A. E. (2012). Input effects on the acquisition of a novel phrasal construction in 5 year olds. Journal of Memory and Language, 66(3), 458–478. https://doi.org/10.1016/j.jml.2011.11.004
11. Johnson, M. A., Boyd, J. K., & Goldberg, A. E. (2012). Construction learning in children with autism. In A. Biller, E. Chung, & A. Kimball (Eds.), Proceedings of the Thirty-Sixth Annual Boston University Conference on Language Development: Supplemental (pp. 1–15). https://www.bu.edu/bucld/proceedings/supplement/vol36/
12. Boyd, J. K., & Goldberg, A. E. (2011). Learning what not to say: The role of statistical preemption and categorization in a-adjective production. Language, 87(1), 55–83. https://www.jstor.org/stable/23011540
13. Boyd, J. K., Gottschalk, E. A., & Goldberg, A. E. (2009). Linking rule acquisition in novel phrasal constructions. Language Learning, 59(s1), 64–89. https://doi.org/10.1111/j.1467-9922.2009.00536.x
14. Boyd, J. K., & Goldberg, A. E. (2009). Input effects within a constructionist framework. The Modern Language Journal, 93(3), 418–429. https://doi.org/10.1111/j.1540-4781.2009.00899.x
15. Boyd, J. (2006). On the representational status of /s/-clusters. San Diego Linguistic Papers, 2, 39–84. https://escholarship.org/uc/item/23d0h28m