معرفی
Dr. Carl Barton is a Lecturer at the School of Computing and Mathematical Sciences, Birkbeck, University of London. His research focuses on computational methods in economics and biology, including digital twins for macroeconomic policy simulation, agent-based modeling (ABM), and bioinformatics. He supervises doctoral researchers working on digital twins of economic systems and aging-related phenotypic analysis. His teaching includes modules on Computer Organisation and Systems Software and E-business.
Research interests span computational economics, where he develops ABM frameworks to simulate policy impacts using historical data validation, and computational biology, involving deep learning for gene regulation and genomic analysis. His work integrates theoretical computer science (e.g., pattern matching algorithms) with applied domains like virology and aging research.
Key collaborations include genomic studies of the Medaka Inbred Kiyosu-Karlsruhe panel and community efforts in gene regulatory modeling. His publications span Nature Biotechnology, Genome Biology, and Scientific Reports, addressing topics from viral mutations to algorithmic complexity.
Advising focuses on two current doctoral researchers exploring digital twins and aging phenotypes. No awards are explicitly listed, but his interdisciplinary work bridges computer science, economics, and biology with applications in policy and healthcare.
