Education History
- B.S., Mathematics, Wingate University
- M.A., Mathematics, Wake Forest University
- Ph.D., Applied Mathematics and Statistics, Johns Hopkins University
Work Experience
Assistant Instructor, JHU Whiting School of Engineering, Engineering for Professionals
Publications
Anderson, C., Willner, M., Patsolic, H., Brem, L., Aboye, G., Smolyak, D., & Crowley, K. (2024). A comparison of llms for use in generating synthetic test data for automated testing of a patient-focused, survey-based system. American Medical Informatics Association (AMIA); https://pmc.ncbi.nlm.nih.gov/articles/PMC12099342/
McCulloh, I., Stewart, D., Kiernan, K., Yazicioglu, F., Patsolic, H., Zinner, C., . . . Cartwright, L. (2023). An experiment on the im-
pact of predictive analytics on kidney offers acceptance decisions. American Journal of Transplantation; https://www.amjtransplant.org/article/S1600-6135(23)00353-2/fulltext
Phillips, N., Patsolic, H., Kim, A., & Gause, D. (2023). Estimating foreign born scientists and engineers (fbse); https://
www.americasdatahub.org/wp-content/uploads/2024/08/Estimating_Foreign_Born_Scientists_and_Engineers_November_2023-final-report.pdf
Winding, M., Pedigo, B. D., Barnes, C. L., Patsolic, H. G., Park, Y., Kazimiers, T., . . . Valdes-Aleman, J., et al. (2023). The connectome of an insect brain. Science, 379(6636), eadd9330; https://www.science.org/doi/10.1126/science.add9330
Kent, T. G., Phillips, N. E., McCulloh, I., Pavon-Harr, V., & Patsolic, H. G. (2021). Microscopic markov chain approach for measuring mobility driven sars-cov-2 transmission. In International conference on complex networks and their applications (pp. 301–314). Springer; https://link.springer.com/chapter/10.1007/978-3-030-93413-2_26
Patsolic, H. G., Park, Y., Lyzinski, V., & Priebe, C. E. (2020b). Vertex nomination via seeded graph matching. Statistical Analysis and Data Mining: The ASA Data Science Journal, 13(3), 229–244; https://onlinelibrary.wiley.com/doi/abs/10.1002/sam.11454
Fishkind, D., Adali, S., Patsolic, H., Meng, L., Singh, D., Lyzinski, V., & Priebe, C. (2019). Seeded graph matching. Pattern Recognition, 87, 203–215; https://www.sciencedirect.com/science/article/pii/S0031320318303431
Courses
Foundations of Data Analytics
635.631
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