Research Summary

Dr. Sadovski, Director of the Center for Statistics and Quality Improvement Services, is interested in mathematical modeling, such as modeling bacterial growth. The growth characteristics of E. coli and other bacteria can be translated from the laboratory to mathematical models to generate predictive information. For example, using E. coli and other bacteria, it is possible to formulate models of exponential or logistic growth in a variety of conditions, such weather or the presence/absence of antibiotics or other compounds. Another project uses predator-prey models to evaluate the same information about bacteria growth. Empirical data from Dr. Mott's research are used for predicative modeling. Another topic of research is in the mathematics of epidemics, using real world epidemics such as flu, ebola, and AIDS to create dynamical models such as Susceptible-Infected-Recovered for closed and open systems as well as systems with fatalities.