Date Thesis Awarded
Honors Thesis -- Open Access
Bachelors of Science (BS)
Gregory Conradi Smith
Synthetic biology is a relatively new and diverse field with the potential to revolutionize our command over biological systems via the modification or de novo construction of biological networks and tools. Precise and predictable control over the foundational properties of gene expression and genetic circuit behavior will be critical to the application of synthetic biology in the relevant contexts (for instance, in vivo for therapeutic applications). This level of control can be achieved via the interplay between mathematical modeling and empirical observation. The following work will highlight not only the massive potential of synthetic biology in both bacterial and mammalian systems, but the essential role of mathematical modeling in the field to understand existing biological systems and inform the design of novel systems to control biology. I will also outline my efforts to expand the capabilities of synthetic biology research at William & Mary to include work in mammalian systems, creating a sustainable and accessible framework to enable future students to delve into fundamental control of biological systems on the cutting edge of mammalian synthetic biology research.
Monette, Callan, "The use of foundational mathematical modeling techniques to inform understanding & design of complex biological systems" (2019). Undergraduate Honors Theses. Paper 1413.