The Shekhtman Lab researches applied network and data science.
We have three primary areas of focus:
1. Philanthropic data science- use of methodologies from data science to understand the world of nonprofits and philanthropy.
2. Viral Dynamics- analyzing models and real data on patients infected with virological diseases, especially related to the liver.
3. Network science- studying models and data of how things are connected across a diverse array of applications.
Fields of Interest
Recent Publications
Mihály, N., Littlepage, B., Várhelyi, K. S., & Shekhtman, L. (Accepted/In press). The Impact of Pre-Pandemic Financial Structure on Knowledge-Production Resilience During COVID-19: A Cluster Analysis of U.S. Nonprofit Higher Education Institutions. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-026-03454-0
Mhlanga, A., Shekhtman, L., Cotler, S. J., Wasserman, O., Degasperi, E., Anolli, M. P., Uceda Renteria, S. C., Sambarino, D., Borghi, M., Perbellini, R., Facchetti, F., Callegaro, A., Dahari, H., & Lampertico, P. (2026). Mathematical modeling of HDV RNA, HBsAg, and ALT kinetics in patients with compensated cirrhosis: Insights from 96 Weeks of bulevirtide monotherapy. Antiviral Research, 253, Article 106489. https://doi.org/10.1016/j.antiviral.2026.106489
Mhlanga, A., Shekhtman, L., Zakh, R., Duehren, S., Goyal, A., Churkin, A., Reinharz, V., Barash, D., Glenn, J., Etzion, O., Cotler, S. J., Yurdaydin, C., & Dahari, H. (2026). Mathematical Modeling of HDV RNA, HBV DNA, and HBsAg Dynamics During Lonafarnib-Based Therapy: Insights from the LOWR HDV-1 Study. Bulletin of Mathematical Biology, 88(9), Article 150. https://doi.org/10.1007/s11538-026-01717-0
Battistella, S., Pocurull, A., Leonel, T., Rodríguez-Tajes, S., Fundora, Y., Shekhtman, L., Hershkovich, L., Cotler, S. J., Dahari, H., Fortney, T., Anderson, M., Cloherty, G., Hurtado, J. C., Saez-Palma, M., Lens, S., Pérez-del-Pulgar, S., & Forns, X. (2026). Early hepatitis B and delta virus kinetics in patients undergoing liver transplantation. Scientific Reports, 16(1), Article 26566. https://doi.org/10.1038/s41598-026-52234-y
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