معرفی
Ross King is a Professor in the Department of Systems Biology at Chalmers University of Technology. He specializes in leveraging artificial intelligence, machine learning, and automation to advance scientific research. His work focuses on developing autonomous laboratory systems and AI-driven methodologies to accelerate discoveries in drug development, systems biology, and metabolic modeling. Key projects include Genesis, a database for autonomous systems, and AutonoMS for metabolomic analysis. His research emphasizes reproducibility, hypothesis generation via large language models, and integrating robotics with computational tools.
King's contributions span interdisciplinary fields, combining computational methods with experimental validation. He leads efforts to automate scientific workflows, exemplified by his Robot Scientists (Adam and Eve), which autonomously design and execute experiments. His recent work explores extrapolation challenges in machine learning, ethical AI in science, and personalized medicine through predictive modeling.
He has published extensively in journals like PNAS, Nature Machine Intelligence, and Scientific Reports, with a focus on AI ethics, closed-loop discovery systems, and translational applications in healthcare. His research bridges theoretical computer science with practical biomedical and environmental challenges.
