Sentence examples for mathematical modeler from inspiring English sources

Joshua Schiffer, a clinician and mathematical modeler in Corey's group, constructed mathematical models from a large amount of virological and patient data--including the amount of virus present in the skin of patients who took four swabs daily for 60 days.

This position allowed him to pursue a broad program of theoretical and field research that combined his unusual talents as both a mathematical modeler and a knowledgeable naturalist.

Wilson, a mathematical modeler and head of the Kirby's surveillance division, also notes that more treatment means more HIV-infected people survive who can potentially spread the infection, as some undoubtedly will remain infectious.

"The various numbers that are currently being bandied about" emphasize "the importance of keeping to the rule that the Scientific Committee is the authority" and should be the only body calculating any such quotas, says Justin Cooke, a mathematical modeler and committee member in Freiburg, Germany, who represents the International Union for Conservation of Nature.

"Although it's too early to declare victory, there's a good chance now that science will not be sidelined as would have been the case had the chair's proposal been adopted," says Justin Cooke, a mathematical modeler in Freiburg, Germany, who represents the International Union for Conservation of Nature at the IWC meeting.

The evolution of infectious diseases has been described and analyzed by many mathematical modelers, while conventional mathematical modeling of the spread of the disease has usually ignored or underestimated the importance of the spatial exposure of an epidemic (see [12 16] and references therein).

All in all, mathematical modelers appear to characterize models more by the abstraction of the representation of the epidemiological mechanisms studied (e.g. transmission, immunity) than by the sophistication of the underlying mathematical tools.

While mathematical modelers have taken great strides towards building predictive models of disease transmission dynamics within human populations, the computational complexity of these models often precludes systematic optimization of the demographic, spatial and temporal distribution of costly resources.

"The mathematical modelers told us that a large decline was to be expected, but we tend not to believe it until we see it," Dr. Donovan said.

He adds, "There's an enormous demand in neuroscience imaging, all over the world, for mathematical modelers".

Genetic transfer in biofilms--with its relevance to the transfer of antibiotic resistance--is an example of important phenomena that have received little attention from mathematical modelers.