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
Shekhtman, L., Ishida, Y., Tsuge, M., Reinharz, V., Yamao, M., Takahashi, M., Tateno, C., Uprichard, S. L., Dahari, H., & Chayama, K. (2025). Modeling of hepatitis B virus kinetics and accumulation of cccDNA in primary human hepatocytes. JHEP Reports, 7(4), Article 101311. https://doi.org/10.1016/j.jhepr.2024.101311
Hershkovich, L., Cotler, S. J., Shekhtman, L., Bazinet, M., Anderson, M., Kuhns, M., Cloherty, G., Vaillant, A., & Dahari, H. (2025). HBV serum RNA kinetics during nucleic acid polymers based therapy predict functional cure. Antiviral Research, 234, Article 106061. https://doi.org/10.1016/j.antiviral.2024.106061
אלאלוף, ה., שכטמן, ל., & רוזנפלד, א. (2025). שיתוף פעולה אקדמי-צבאי בראי פרסומיים מדעיים: ישראל כמקרה בוחן. מידעת. https://is.biu.ac.il/sites/is/files/shared/%D7%A9%D7%99%D7%AA%D7%95%D7%A3-%D7%A4%D7%A2%D7%95%D7%9C%D7%94-%D7%90%D7%A7%D7%93%D7%9E%D7%99-%D7%A6%D7%91%D7%90%D7%99-%D7%91%D7%A8%D7%90%D7%99-%D7%A4%D7%A8%D7%A1%D7%95%D7%9E%D7%99%D7%9D-%D7%9E%D7%93%D7%A2%D7%99%D7%99%D7%9D-%D7%99%D7%A9%D7%A8%D7%90%D7%9C-%D7%9B%D7%9E%D7%A7%D7%A8%D7%94-%D7%91%D7%95%D7%97%D7%9F.pdf
Behfar, S. K., Shekhtman, L., & Crowcroft, J. (2024). Competitive funding and academic-industry collaboration: policy trends and insights. Data and Policy, 6, Article e82. https://doi.org/10.1017/dap.2024.81
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