Hana Dobrovolny, Ph.D.

Affiliations: 
1993-1997 Physics & Mathematics University of Winnipeg, Winnipeg, Manitoba, Canada 
 1997-2000 Physics Bryn Mawr College, Bryn Mawr, PA, United States 
 2000-2008 Physics Duke University, Durham, NC 
 2008-2012 Physics Ryerson University, Toronto, Ontario, Canada 
 2012- Physics Texas Christian University, Fort Worth, TX, United States 
Area:
AMO, Chaos
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"Hana Dobrovolny"
Bio:

http://personal.tcu.edu/hdobrovolny/Hana_Dobrovolny_CV.pdf

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Parents

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Alfonso M. Albano grad student 1997-2000 Bryn Mawr College
 (M.A. Thesis: On nonlinear time series analysis)
Daniel Gauthier grad student 2008 Duke
 (Spatial variation of cardiac restitution and the onset of alternans.)
Catherine Beauchemin post-doc 2008-2012 Ryerson University
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Publications

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González-Parra G, Dobrovolny HM. (2024) Editorial: Mathematical foundations in biological modelling and simulation. Mathematical Biosciences and Engineering : Mbe. 21: 7084-7086
Glaschke S, Dobrovolny HM. (2024) Spatiotemporal spread of oncolytic virus in a heterogeneous cell population. Computers in Biology and Medicine. 183: 109235
Polavarapu N, Doty M, Dobrovolny HM. (2024) Exploring the treatment of SARS-CoV-2 with modified vesicular stomatitis virus. Journal of Theoretical Biology. 595: 111959
Noffel Z, Dobrovolny HM. (2024) Modeling the bystander effect during viral coinfection. Journal of Theoretical Biology. 594: 111928
Chiarelli A, Dobrovolny H. (2024) Viral Rebound After Antiviral Treatment: A Mathematical Modeling Study of the Role of Antiviral Mechanism of Action. Interdisciplinary Sciences, Computational Life Sciences
Gadiyar I, Dobrovolny HM. (2023) Different routes of infection of H5N1 lead to changes in infecting time. Mathematical Biosciences. 367: 109129
Dobrovolny HM. (2023) Mathematical Modeling of Virus-Mediated Syncytia Formation: Past Successes and Future Directions. Results and Problems in Cell Differentiation. 71: 345-370
Guo E, Dobrovolny HM. (2023) Mathematical Modeling of Oncolytic Virus Therapy Reveals Role of the Immune Response. Viruses. 15
Buntval K, Dobrovolny HM. (2023) Modeling of oncolytic viruses in a heterogeneous cell population to predict spread into non-cancerous cells. Computers in Biology and Medicine. 165: 107362
Noffel Z, Dobrovolny HM. (2023) Quantifying the effect of defective viral genomes in respiratory syncytial virus infections. Mathematical Biosciences and Engineering : Mbe. 20: 12666-12681
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