My research interest revolves around developing interdisciplinary approaches to develop and employ mathematical modeling techniques using high-dimensional to better understand collective phenomena. Specifically, I focus on labor dynamics within a workforce, the efficacy of medical interventions on patient outcomes, and the application of emerging statistical methods for casual inference. Previous research includes establishing thresholds for step-based intensity and daily step counts in relation to cardiometabolic health outcomes, developing object detection algorithms for quickly identifying buildings and road intersections in satellite images, and integrating causal inference concepts into introductory statistics courses to enhance students’ understanding of statistical and multivariable thinking. Through these endeavors, I aim to contribute to diverse fields while addressing pressing societal challenges.
List of Publications
- Humphreis, S., Parker, T., Jonas, B., Adams, B, Clark, N. (2021) A dual U-Net algorithm for automating feature extraction from satellite imagery. The Journal of Defense Modeling and Simulation. https://doi.org/10.1177/1548512920983549
- Adams, B, Baller, D., Cummiskey, K., Jonas, B., Joseph, A. (2021) Computational Skills for Multivariable Thinking in Introductory Statistics. Journal of Statistics Education – Computing in the Statistics and Data Science Curriculum Special Issue. https://www.tandfonline.com/doi/full/10.1080/10691898.2020.1852139
- Cummiskey, K., Pleuss, J., Adams, B, Turner D., Hickman R., Sulewski C., Watts K. (2021) An undergraduate project to develop statistical thinking and writing. Teaching and Learning the West Point Way – Chapter. https://www.taylorfrancis.com/chapters/edit/10.4324/9781003138181-12/
- Cummiskey, K., Adams, B, Clark, N., Pleuss, J., Turner, D., Watts, K. (2020) Causal inference in Introductory Statistics Courses. Journal of Statistics Education. https://www.tandfonline.com/doi/full/10.1080/10691898.2020.1713936
- Adams, B, Fidler, K., Demoes, N., Aguiar, E., Ducharme, S., McCullough, A., Moore, C., Thomas, D., Tudor-Locke, C. (2019) Cardiometabolic thresholds for peak 30-min cadence and steps/day, Plos One. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0219933
- Hannon, B., Adams, B, Crow, M., Fairfield, W., Kyle, T., Thomas, D. (2020) Use and Abuse of Dietary Supplements in Persons with Diabetes. Nutrition and Diabetes. https://www.nature.com/articles/s41387-020-0117-6
- Blyman, K., Arney, K., Adams, B (2020), Hudson, T. Does your course effectively promote creativity?: Introducing the mathematical problem solving creativity rubric. Journal of Humanistic Mathematics – Creativity Special Issue. https://scholarship.claremont.edu/cgi/viewcontent.cgi?article=1675\&context=jhm
- Langan, R., Chi, H., Adams, B, Sesti, S., Paul, S., Turner, A., August, D., Carpizo, E., Kennedy, T., Grandhi, M., Alexander, H., Libutti, S., Geffner, S. (2019) Outcomes following major oncologic operations for non-AIDS defining cancers in the HIV population: A matched comparison to the general population, World of Surgery. https://link.springer.com/article/10.1007/s00268-019-05151-3
- Ploch, C., Thomas, D.M., Adams, B, Turner, D., Hug, A., Suby, J., Palmer, J.E. and Bigelman, K. (2019), Prediction of cadet basic training physical performance outcomes. The FASEB Journal. https://doi.org/10.1096/fasebj.2019.33.1_supplement.693.17
- Forrester, J., Thomas, D., Adams, B, Stice, E., Arigo, D., Scioletti, M. and Tudor-Locke, C. (2019), Machine learning predictions of depression from time spent in cadence bands. The FASEB Journal. https://doi.org/10.1096/fasebj.2019.33.1_supplement.693.18