Papers and presentations

Miller, E. F., Mallela, A., Neumann, J., Lin, Y. T., Hlavacek, W. S., & Posner, R. G. (2026). Using PyBioNetFit to leverage qualitative and quantitative data in biological model parameterization and uncertainty quantification. Frontiers in Immunology, 17, 1663008.

• doi:10.3389/fimmu.2026.1663008

Miller, E. F., Neumann, J., Chen, Y., Mallela, A., Lin, Y. T., Hlavacek, W. S., & Posner, R. G. (2023). Quantification of early nonpharmaceutical interventions aimed at slowing transmission of coronavirus disease 2019 in the Navajo Nation and surrounding states (Arizona, Colorado, New Mexico, and Utah). PLOS Global Public Health, 3(6).

• doi:10.1371/journal.pgph.0001490

Mallela, A., Neumann, J., Miller, E. F., Chen, Y., Posner, R. G., Lin, Y. T., & Hlavacek, W. S. (2022). Bayesian inference of state-level COVID-19 basic reproduction numbers across the United States. Viruses, 14(1), 157.

• doi:10.3390/v14010157

Lin, Y. T., Neumann, J., Miller, E. F., Posner, R. G., Mallela, A., Safta, C., Ray, J., Thakur, G., Chinthavali, S., & Hlavacek, W. S. (2021). Daily forecasting of regional epidemics of coronavirus disease with Bayesian uncertainty quantification, United States. Emerging Infectious Diseases, 27(3), 767–778.

• doi:10.3201/eid2703.203364

Keim, P., Nottingham, R., Guevara, M. A., Miller, E. F., Vogler, A. J., Williamson, C. H. D., Smith, T., Posner, R. G., Pellett, S., Lenski, R. E., & Sahl, J. W. (2026). The historical domestication of a Clostridium botulinum strain used for the industrial production of botulinum neurotoxin. Proceedings of the National Academy of Sciences, 123(42), e2605155123.

• doi:10.1073/pnas.2605155123

Mallela, A., Chen, Y., Lin, Y. T., Miller, E. F., Neumann, J., He, Z., Nelson, K. E., Posner, R. G., & Hlavacek, W. S. (2024). Impacts of vaccination and SARS-CoV-2 variants Alpha and Delta on COVID-19 transmission dynamics in four metropolitan areas of the United States. Bulletin of Mathematical Biology, 86(3).

• doi:10.1007/s11538-024-01258-4

Neumann, J., Lin, Y. T., Mallela, A., Miller, E. F., Colvin, J., Duprat, A. T., Chen, Y., Hlavacek, W. S., & Posner, R. G. (2022). Implementation of a practical Markov Chain Monte Carlo sampling algorithm in PyBioNetFit. Bioinformatics, 38(6), 1770–1772.

• doi:10.1093/bioinformatics/btac004

Cramer, E. Y., Huang, Y., Wang, Y., and US COVID-19 Forecast Hub Consortium (includes Ye Chen, William Hlavacek, Yen Ting Lin, Abhishek Mallela, Ely Miller, Jacob Neumann, Richard Posner) et al. (2022). The United States COVID-19 Forecast Hub dataset. Scientific Data, 9, 462.

• doi:10.1038/s41597-022-01517-w

Davis, J. T., Kaur, G., Hines, A., et al. (97 authors, including Miller, E. F.) (2026). Multi-season evaluation and analysis of categorical trend forecasts of influenza hospital admissions in the United States [Preprint]. medRxiv.

• doi:10.64898/2026.08.31.26361843

Where's the Flu? Rule Based Forecasting of Influenza Mediated Hospitalizations Oral NAU Biological Sciences Symposium, February 2026

Summarized my work generating forecasts of Influenza hospitalizations across the United States and contributing to the CDC FluSight forecasting ensemble.

Epidemiological Tracking of SARS-CoV-2 and Quantification of Social Distancing Oral Northern Arizona University Alumni Association, April 2022

Summarized work modeling SARS-CoV-2 transmission dynamics and the effects of social distancing measures.

Effect of Arsenic Toxicity on Developing AS3MT Knockout Zebrafish Poster NAU Undergraduate Research Symposium, April 2022

Summarized work creating an AS3MT knockout zebrafish line and preliminary results of arsenic toxicity effects on developing knockout embryos.

Prevalence of Cervical Cancer Among Incarcerated Women in the USA and Canada Poster NAU Honors College Symposium, November 2020

Reviewed medical data on cervical cancer prevalence in incarcerated women.