AI/ML Models

Our lab leverages artificial intelligence (AI) and machine learning (ML) to accelerate research and innovation across all our focus areas, including biomass conversion, algae valorization, and materials development. We develop data-driven models to predict process outcomes, optimize experimental conditions, and uncover hidden patterns in complex biological and chemical datasets. By integrating AI/ML with lab-scale experiments, we reduce trial-and-error, enhance process efficiency, and enable rapid scale-up. Our work includes algorithm development, model training with experimental data, and real-time process monitoring to support smart, adaptive biomanufacturing systems. 

Students involved: Antonio Franco Aguado