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Amber M. Smith
Theoretical Biology and Biophysics Los Alamos National Laboratory Phone: 505-665-4662 Email: asmith@lanl.gov |
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Research
Interests: Modeling Influenza A Virus and Streptococcus pneumoniae Infections and
Coinfections
My research focus is on influenza A virus infections and primary and secondary bacterial infections. Influenza A virus is an important respiratory
pathogen that poses a considerable threat to public health each year during seasonal epidemics and even more so when a pandemic strain emerges.
Recent investigation into past pandemics has revealed that many fatalities were the result of secondary bacterial infections. This was particularly
true during the 1918-1919 "Spanish Flu" pandemic. The unparalleled virulence of the 1918 influenza virus was likely due both to strain novelty and
to one or more intrinsic viral properties coupled with synergistic interactions with bacterial pathogens, especially Streptococcus
pneumoniae (pneumococcus). Several aspects of influenza and pneumococcus kinetics, including pathogen growth, decay and interplay with host
immune responses, are not well understood. The purpose of my work is to use mathematical models as a tool for studying the complex dynamics of
influenza A virus, pneumococcus, and coinfection with these two pathogens within a host.
I couple mathematical, statistical and experimental techniques to understand the kinetics of viral and bacterial infections. I utilize ordinary
differential equations, model building, model selection theory, perturbation theory, data fitting and parameter estimation in combination with
experimental data from infections in mice. In general, I am interested in addressing how pathogens modulate the host immune response, how pathogens
interact during coinfections, and in making predictions about the time course of infection and the mechanisms involved in pathogenesis. Through the
combined mathematical and biological methods, I aim to better characterize infection kinetics and host immune responses, discover new pathogen
properties, investigate treatment strategies, and understand contributing host factors that are otherwise not available by experimental
procedures.
Publications:
Faculty of 1000 Evaluation
ScienceDaily
News Story
Teaching (University of Utah):
Fall 2007/Spring 2008: RTG REU Mentor
Spring 2007: Math 5120 - Mathematical Biology II
Fall 2006: Math 5110 - Mathematical Biology I
Spring 2006: Math 1100 - Business Calculus
Fall 2005: Math 1090 - Business Algebra
Other Links:
Adler Lab
Presentations in LaTeX: the Beamer class
Colorado School of Mines