Explore the complexities of microbial growth and its manipulation in this 50-minute lecture by Professor Ville Mustonen from the Finnish Center for Artificial Intelligence. Delve into a computational approach that transforms parallel growth curve data into estimates of genotype-dependent growth laws, overcoming various biases. Discover how this method opens doors to eco-evolutionary experimentation, where spatially mediated interactions between growing microbial colonies become a focal point of study. Learn about the potential applications in combating pathogens and advancing biotechnology. Gain insights from Mustonen's work in evolutionary theory, bioinformatics, and their applications to challenges like drug resistance. Understand the interdisciplinary nature of this research and its implications for human health, particularly in the context of infectious diseases and antimicrobial resistance.