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Kaitlyn Johnson

Postdoctoral researcher

Education

Affiliations

Bio

Dr. Johnson is a postdoctoral researcher in the Department of Integrative Biology at the University of Texas at Austin. She uses mathematical models to aid in decision-making for control of infectious diseases.

Preferred Pronouns

She/her/hers

Personal Academic Website

Research/Topics of Interest

Apply models to public health
Compartmental models
Health systems
Public health application of models
Public health policy/interventions
Science communication
Social determinants of health
Time-series models
Vaccines
modeling for decision making
equity
public health
testing

Pathogens/Diseases of Main Interest/Expertise

COVID-19

Countries of Work/Collaboration

United States

Projects

Papers

Bhavnani D, James ER, Johnson KE, Beaudenon-Huibregtse S, Chang P, Rathouz PJ, Weldon M, Matouschek A, Young AE. (2022). SARS-CoV-2 viral load is associated with risk of transmission to household and community contacts. BMC infectious diseases, 22(1)

Johnson KE, Lachmann M, Stoddard M, Pasco R, Fox SJ, Meyers LA, Chakravarty A. (2021). Detecting in-school transmission of SARS-CoV-2 from case ratios and documented clusters. medRxiv : the preprint server for health sciences

Johnson KE, Stoddard M, Nolan RP, White DE, Hochberg NS, Chakravarty A. (2021). In the long shadow of our best intentions: Model-based assessment of the consequences of school reopening during the COVID-19 pandemic. PloS one, 16(3)

Wang X, Du Z, Johnson KE, Pasco RF, Fox SJ, Lachmann M, McLellan JS, Meyers LA. (2021). The impacts of COVID-19 vaccine timing, number of doses, and risk prioritization on mortality in the US. medRxiv : the preprint server for health sciences

Gutierrez C, Al'Khafaji AM, Brenner E, Johnson KE, Gohil SH, Lin Z, Knisbacher BA, Durrett RE, Li S, Parvin S, Biran A, Zhang W, Rassenti L, Kipps TJ, Livak KJ, Neuberg D, Letai A, Getz G, Wu CJ, Brock A. (2021). Multifunctional barcoding with ClonMapper enables high-resolution study of clonal dynamics during tumor evolution and treatment. Nature cancer, 2(7)

Johnson KE, Howard GR, Morgan D, Brenner EA, Gardner AL, Durrett RE, Mo W, Al'Khafaji A, Sontag ED, Jarrett AM, Yankeelov TE, Brock A. (2020). Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer. Physical biology, 18(1)

Kazerouni AS, Gadde M, Gardner A, Hormuth DA 2nd., Jarrett AM, Johnson KE, Lima EABF, Lorenzo G, Phillips C, Brock A, Yankeelov TE. (2020). Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology. iScience, 23(12)

Pan J, Johnson K. (2019). "Hacking" Our Way across Interdisciplinary Boundaries. Cell systems, 8(5)

Johnson KE, Howard G, Mo W, Strasser MK, Lima EABF, Huang S, Brock A. (2019). Cancer cell population growth kinetics at low densities deviate from the exponential growth model and suggest an Allee effect. PLoS biology, 17(8)

Howard GR, Johnson KE, Rodriguez Ayala A, Yankeelov TE, Brock A. (2018). A multi-state model of chemoresistance to characterize phenotypic dynamics in breast cancer. Scientific reports, 8(1)

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