Explore the integration of automated scientific processes in this Spring 2021 Research Seminar on Molecular Programming. Discover how the Kaemika app bridges the gap between theoretical models and experimental protocols in scientific research. Learn about the importance of unified descriptions that encompass both mathematical analysis and automated lab execution. Understand the potential for automated model synthesis, falsification, and inference, considering uncertainties in model structure and equipment tolerances. Gain insights from Luca Cardelli, a Royal Society Research Professor at the University of Oxford, as he discusses his work on programmable biology and nanotechnology. Delve into the future of scientific automation and its impact on research methodologies across various disciplines.
Overview
Syllabus
Kaemika App: Simulating Reaction Networks together with Digital Protocols (Luca Cardelli, Oxford)
Taught by
Paul G. Allen School