Heather Patsolic

Heather Patsolic is a graph analytics specialist who applies localization techniques to make otherwise intractable problems manageable. She serves as a Lead Data Scientist and Manager at Accenture Federal Services, where since 2020 she has directed data and graph analytics efforts across more than a dozen projects.

With over fifteen years of teaching experience, Heather has taught mathematics, statistics, and graph/data analytics in a variety of academic and professional settings. She holds a Ph.D. in Applied Mathematics and Statistics from Johns Hopkins University and a Master’s in Mathematics from Wake Forest University.

Education History

• B.S., Mathematics, Wingate University
• M.A., Mathematics, Wake Forest University
• Ph.D., Applied Mathematics and Statistics, Johns Hopkins University

Work Experience

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