From Petri-Dish to Predictions – AI Meets Microbiology

Microbiology has entered a new era where petri-dish observations alone are no longer sufficient to keep up with the scale of biological data. From imaging colony growth to sequencing microbial communities, researchers now face an influx of complex data requiring advanced analysis. This workshop explores how AI techniques such as machine learning, computer vision, and predictive analytics are revolutionizing microbiology. By introducing participants to tools and methodologies, the workshop empowers researchers to build models that classify microbes, predict resistance, and decode microbial patterns from genomic and image data.

Over the course of three days, participants will explore real-world case studies, hands-on demonstrations, and expert-guided discussions. Topics will span microbial image recognition, genome-based predictions, microbiome analytics, and the use of AI in environmental, industrial, and clinical microbiology. Whether you’re a biologist aiming to embrace AI or a data scientist venturing into microbiology, this workshop will serve as your cross-disciplinary launchpad.