Hana Dobrovolny, Ph.D.

• Dobrovolny, H.M. (2026). Mathematical Modeling of Cell-Cell Fusion Assays to Characterize Virus-Mediated Cell Fusion. Advances in Experimental Measurement, (book chapter). https://link.springer.com/chapter/10.1007/978-3-032-22637-2_17
• Sage, H. and Dobrovolny, H.M. (2026). Exploring the effect of density dependent infection rate in a within host viral infection model. Mathematical Biosciences and Engineering. https://www.aimspress.com/article/doi/10.3934/mbe.2026061
• Chiarelli, A. and Dobrovolny, H.M. (2026). A mathematical model for temperature effects on virus-mediated cell fusion. Journal of Theoretical Biology. https://www.sciencedirect.com/science/article/abs/pii/S0022519326000366
• Makam, S. and Dobrovolny, H.M. (2026). Mathematical Modeling of the Role of Cytokines in Sindbis Virus Treatment of Glioblastoma. CPT: Pharmacometrics & Systems Pharmacology. https://ascpt.onlinelibrary.wiley.com/doi/10.1002/psp4.70205
• Satani, S., Suri, A., and Dobrovolny, H.M. (2025). Mathematical Modeling of Oncolytic Vaccinia Virus Therapy Highlights Neutrophil Impact on Tumor Suppression. Journal of the Royal Society Interface, 22(233):20250481. https://royalsocietypublishing.org/rsif/article/22/233/20250481
• Mohan, T. and Dobrovolny, H.M. (2025). Mathematical modeling of the effect of multiple vaccines on viral escape. Mathematics and Computers in Simulation. https://www.sciencedirect.com/science/article/abs/pii/S0378475425003829
• Srivastava, S. and Dobrovolny, H.M. (2025). Quantitative analysis of respiratory viral triple infections: Examining within host dynamics of Influenza, RSV, and SARS-CoV-2. Mathematical Biosciences and Engineering. https://www.aimspress.com/article/doi/10.3934/mbe.2025105
• Beach, I. and Dobrovolny, H.M. (2025). The effect of antibodies in the presence of syncytia during viral infections. Bulletin of Mathematical Biology, 87:76. https://link.springer.com/article/10.1007/s11538-025-01463-9
• Gerg, A. and Dobrovolny, H.M. (2025). Quantifying the effect of HIV receptor surface density reveals differences in fusion dynamics of HIV strains. Viruses, 17:583. https://www.mdpi.com/1999-4915/17/4/583
• Suri, A., Sahani, S., and Dobrovolny, H.M. (2025). Analyzing Dynamical Differences Between Vaccinated and Unvaccinated RSV Patients. Epidemiologia, 6:16. https://www.mdpi.com/2673-3986/6/2/16
• Botmann, N.K. and Dobrovolny, H.M. (2025). Assessing the Role of Model Choice in Parameter Identifiability of Cancer Treatment Efficacy. Frontiers in Applied Mathematics and Statistics, 11:1542617. https://www.frontiersin.org/journals/applied-mathematics-and-statistics/articles/10.3389/fams.2025.1542617/full
• McCarthy, G. and Dobrovolny, H.M. (2025). Determining the best mathematical model for implementation of NPIs. Mathematical Biosciences and Engineering, 22(3):700-724. https://www.aimspress.com/article/doi/10.3934/mbe.2025026?viewType=HTML
• Dobrovolny, H.M. (2025). How do viruses get around? A review of mathematical modeling of in-host viral transmission. Virology, 604:110444. https://www.sciencedirect.com/science/article/pii/S004268222500056X
• Glaschke, S. and Dobrovolny, H.M. (2024). Spatiotemporal spread of oncolytic virus in a heterogeneous cell population. Computers in Biology and Medicine, 183:109235. https://www.sciencedirect.com/science/article/pii/S0010482524013209
• Polavarapu, N., Doty, M., and Dobrovolny, H.M. (2024). Exploring the treatment of SARS-CoV-2 with modified vesicular stomatitis virus. Journal of Theoretical Biology, 595:111959. https://www.sciencedirect.com/science/article/abs/pii/S0022519324002443
• Gonzalez-Parra, G. and Dobrovolny, H.M. (2024). Mathematical foundations in biological modelling and simulation. Mathematical Biosciences and Engineering, 21(9):7084-7086. https://www.aimspress.com/article/doi/10.3934/mbe.2024311
• Noffel, Z. and Dobrovolny, H.M. (2024). Modeling the bystander effect during viral coinfection. Journal of Theoretical Biology, 594:111928. https://www.sciencedirect.com/science/article/abs/pii/S0022519324002133
• Chiarelli, A. and Dobrovolny, H.M. (2024). Viral Rebound After Antiviral Treatment: A Mathematical Modeling Study of the Role of Antiviral Mechanism of Action. Interdisciplinary Sciences: Computational Life Sciences. https://link.springer.com/article/10.1007/s12539-024-00643-w
• Amidei, A. and Dobrovolny, H.M. (2024). Virus-mediated cell fusion of SARS-CoV-2 variants. Mathematical Biosciences. https://www.sciencedirect.com/science/article/abs/pii/S002555642400004X?dgcid=rss_sd_all
• Gadiyar, I. and Dobrovolny, H.M. (2023). Different routes of infection of H5N1 lead to changes in infecting time. Mathematical Biosciences, 367:109129. https://www.sciencedirect.com/science/article/abs/pii/S0025556423001694?via%3Dihub
• Guo, E. and Dobrovolny, H.M. (2023). Mathematical Modeling of Oncolytic Virus Therapy Reveals Role of the Immune Response. Viruses, 15(9):1812. https://www.mdpi.com/1999-4915/15/9/1812
• Buntval, K. and Dobrovolny, H.M. (2023). Modeling of oncolytic viruses in a heterogeneous cell population to predict spread into non-cancerous cells. Computers in Biology and Medicine. https://www.sciencedirect.com/science/article/abs/pii/S0010482523008272
• Dobrovolny, H.M. (2023). Mathematical modeling of virus-mediated syncytia formation: Past successes and future directions. In Syncytia: Origin, Structure, and Functions, accepted.
• Noffel, Z. and Dobrovolny, H.M. (2023). Quantifying the effect of defective viral genomes in respiratory syncytial virus. Mathematical Biosciences and Engineering, 20(7):12666-12681. https://www.aimspress.com/article/10.3934/mbe.2023564
• Haun, A., Fain, B., and Dobrovolny, H.M. (2022). Effect of cellular regeneration and viral transmission mode on viral spread. Journal of Theoretical Biology. https://www.sciencedirect.com/science/article/pii/S0022519322003617
• Amidei, A. and Dobrovolny, H.M. (2022). Estimation of virus-mediated cell fusion rate of SARS-CoV-2. Virology. https://www.sciencedirect.com/science/article/pii/S0042682222001465
• Fain, B. and Dobrovolny, H.M. (2022). GPU acceleration and data fitting: Agent-based models of viral infections can now be parameterized in hours. Journal of Computational Science. https://www.sciencedirect.com/science/article/abs/pii/S1877750322000746
• Pinky, L. and Dobrovolny, H.M. (2022). Epidemiological Consequences of Viral Interference: A Mathematical Modeling Study of Two Interacting Viruses. Frontiers in Microbiology. https://www.frontiersin.org/articles/10.3389/fmicb.2022.830423/full
• Karr, J., Malik-Sheriff, R. S., Osborne, J., Gonzalez-Parra, G., Forgoston, E., Bowness, R., Liu, Y., Thompson, R., Garira, W., et al. (2022). Model Integration in Computational Biology: The Role of Reproducibility, Credibility and Utility. Frontiers in Systems Biology. https://www.frontiersin.org/articles/10.3389/fsysb.2022.822606/full
• Alexander, P. and Dobrovolny, H.M. (2022). Treatment of Respiratory Viral Coinfections. Epidemiologia, 3(1):81-96. https://www.mdpi.com/2673-3986/3/1/8
• Pho, C., Frieler, M., Akkaraju, G., Naumov, A., and Dobrovolny, H.M. (2021). Using mathematical modeling to estimate time-independent cancer chemotherapy efficacy parameters. In Silico Pharmacology. https://link.springer.com/article/10.1007/s40203-021-00117-7
• Rodriguez, T. and Dobrovolny, H.M. (2021). Estimation of viral kinetics model parameters in young and aged SARS-CoV-2 infected macaques. Royal Society Open Science, 8:202345. https://royalsocietypublishing.org/doi/10.1098/rsos.202345
• Khan, S. and Dobrovolny, H.M. (2021). A study of the effects of age on the dynamics of RSV in animal models. Virus Research, 304:198524. https://www.sciencedirect.com/science/article/abs/pii/S0168170221002318
• Rodriguez, T., Gonzalez-Parra, G., and Dobrovolny, H.M. (2021). Quantifying the effect of trypsin and elastase on in vitro SARS-CoV infections. Virus Research, 299:198423. https://www.sciencedirect.com/science/article/pii/S0168170221001301
• Sharpe, S. and Dobrovolny, H.M. (2021). Predicting the effectiveness of chemotherapy using stochastic ODE models of tumor growth. Communications in Nonlinear Science and Numerical Simulation, 101:105883. https://www.sciencedirect.com/science/article/abs/pii/S1007570421001957
• Jessie, B. and Dobrovolny, H.M. (2021). The role of syncytia during viral infections. Journal of Theoretical Biology, 525:110749. https://www.sciencedirect.com/science/article/pii/S0022519321001715
• Dobrovolny, H.M. (2020). Modeling the role of asymptomatics in infection spread with application to SARS-CoV-2. PLoS ONE, 15(8):e0236976. https://doi.org/10.1371/journal.pone.0236976
• Pinky, L. and Dobrovolny, H.M. (2020). SARS-CoV-2 coinfections: Could influenza and the common cold be beneficial?. Journal of Medical Virology, 92(11):2623-2630. https://onlinelibrary.wiley.com/doi/10.1002/jmv.26098
• Murphy, H., McCarthy, G., and Dobrovolny, H.M. (2020). Understanding the Effect of Measurement Time on Drug Characterization. PLoS ONE, 15(5):e0233031. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0233031
• Schmid, H. and Dobrovolny, H.M. (2020). An approximate solution of the interferon-dependent viral kinetics model of influenza. Journal of Theoretical Biology, 498:110266. https://www.sciencedirect.com/science/article/abs/pii/S0022519320301211

Guo, E., S. Satani, A. Suri, R. Padmasolala, S. Makam, T. Yadav, H.M. Dobrovolny, 2025, ``Incorporating the immune response into models of oncolytic virus treatment of cancer'', Society of Mathematical Biology, Edmonton, AB (invited)

Matthews, P., M. Doty, H.M. Dobrovolny, 2025, ``Time-varying viral production in virus dynamics models'', Society of Mathematical Biology, Edmonton, AB (invited)

McCarthy, G., H.M. Dobrovolny, 2025, ``Applications of Mathematical Models of Virus to Mpox'', TSAPS Spring meeting, Houston, TX

Gerg, A., H.M. Dobrovolny, 2025, ``Using alpha shapes to quantify spatial heterogeneity in virus-mediated syncytia formation'', APS Global Summit, Anaheim, CA

Garrett, C., H.M. Dobrovolny, 2025, ``Dynamics of polyaneuploid cancer cell quiescence under stress'', APS Global Summit, Anaheim, CA

Gerg, A., H.M. Dobrovolny, 2025, ``Quantifying Spatial Heterogeneity of Syncytial Cells using Alpha Shapes'', SIAM Conference on Computational Science and Engineering, Fort Worth, TX

Kharki, B., T. McHenry, H.M. Dobrovolny, 2025, ``Identifiability analysis of cancer growth models from dose response curves'', SIAM Conference on Computational Science and Engineering, Fort Worth, TX

McCarthy, G., H.M. Dobrovolny, 2025, ``Identifiability of cell-cell fusion assays'', SIAM Conference on Computational Science and Engineering, Fort Worth, TX

Garrett, C., H.M. Dobrovolny, 2024, ``Dynamics of polyaneuploid cancer cell quiescence under stress'', TSAPS Fall meeting, Dallas, TX

Suri, A., H.M. Dobrovolny, 2024, ``Analyzing Dynamical Differences Between Vaccinated and Unvaccinated'', TSAPS Fall meeting, Dallas, TX

Gerg, A., H.M. Dobrovolny, 2024, ``Quantifying Spatial Heterogeneity of Syncytial Cells'', TSAPS Fall meeting, Dallas, TX (Winner of best graduate poster)

McCarthy, G., H.M. Dobrovolny, 2024, ``Structural and Practical Identifiability Analysis of Models of Scyncytia Formation'', TSAPS Fall meeting, Dallas, TX

Rehmatullah, M., H.M. Dobrovolny, 2024, ``Characterization of a cell-adapted oncolytic virus'', Eastern Great Lakes Section of APS Fall meeting, Marietta, OH

Dobrovolny, H.M., 2024, `` Infectious physics: Using physics to help us understand respiratory viral coinfections'', Texas A&M Commerce physics colloquium,(invited)

McCarthy, G., H.M. Dobrovolny, 2024, ``Structural and Practical Identifiability Analysis of Models for Syncytia Growth'', TSAPS Spring meeting, Stephenville, TX

Gerg, A., H.M. Dobrovolny, 2024, ``Nonlinear Analysis of HIV Type-1 Syncytia Formation'', TSAPS Spring meeting, Stephenville, TX

Amidei, A., H.M. Dobrovolny, 2024, ``Modeling and characterization of virus-mediated cell fusion assays'', TSAPS Spring meeting, Stephenville, TX

Kalra, M., S. Kalra, H.M. Dobrovolny}, 2024, ``Finding the Optimal IFN Response For Oncolytic Virus Treatment'', ABRCMS ePoster Symposium, virtual

Yadav, T., H.M. Dobrovolny, 2024, ``Oncolytic Virus and the Interferon Response'', ABRCMS ePoster Symposium, virtual

Talagadadeeva, S., H.M. Dobrovolny, 2024, ``Modeling of infrared detection of cancer miRNA'', ABRCMS ePoster Symposium, virtual

Amidei, A.}, E. Guo,  L. Pinky, B. Fain, H.M. Dobrovolny, 2024, ``Maximizing insight into viral infections using within host mathematical models'', JPS Research & Quality Symposium, Fort Worth, TX

Gerg, A., H.M. Dobrovolny, 2024, ``Density Dependence: A Nonlinear Analysis of HIV Syncytium in Drug-Treated Transfection'', JPS Research & Quality Symposium, Fort Worth, TX

Dobrovolny, H.M., 2024, ``Syncytia formation: The dynamics of virus-mediated cell fusion'', Idaho State University physics colloquium, virtual (invited)

Amidei, A., G. McCarthy, H.M. Dobrovolny, 2024, ``Modeling and characterization of virus-mediated cell fusion assays'', APS March meeting, Minneapolis, MN

Sage, H., H.M. Dobrovolny, 2024, ``The effect of density-dependent infection on ODE models of viral dynamics'', APS March meeting, Minneapolis, MN

• Society for Mathematical Biology
• American Physical Society
• Canadian Association of Physicists
• American Association of Physics Teachers
• Society for Industrial and Applied Mathematics
• Advanced Laboratory Physics Association
• Sigma Xi