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Princeton University Press, 2024

Quantitative Biosciences” establishes the quantitative principles of how living systems work across scales, drawing on classic and modern discoveries to present a case study approach that links mechanisms, models, and measurements. Each case study is organized around a central question in the life sciences: Are mutations dependent on selection? How do cells respond to fluctuating signals in the environment? How do organisms move in flocks given local sensing? How does the size of an epidemic depend on its initial speed of spread? Each question provides the basis for introducing landmark advances in the life sciences while teaching students — whether from the life sciences, physics, computational sciences, engineering, or mathematics — how to reason quantitatively about living systems given uncertainty. The textbook will be available with an accompanying computational lab guide, separately available in MATLAB, Python, and R including tutorials, exercises, and solutions suitable for independent study and the classroom. Available for adoption as of March 2024.

Princeton University Press, 2016

When we think about viruses we tend to consider ones that afflict humans—such as those that cause influenza, HIV, and Ebola. Yet, vastly more viruses infect single-celled microbes. Diverse and abundant, microbes and the viruses that infect them are found in oceans, lakes, plants, soil, and animal-associated microbiomes. Taking a vital look at the “microscopic” mode of disease dynamics, “Quantitative Viral Ecology” establishes a theoretical foundation from which to model and predict the ecological and evolutionary dynamics that result from the interaction between viruses and their microbial hosts. Winner of the Royal Society Award for Best Graduate Textbook in 2016.

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