معرفی
Greg Carter is an Associate Professor affiliated with the Graduate School of Biomedical Science and Engineering at the University of Maine and the Jackson Laboratory. His research focuses on computational and systems biology approaches to model complex genetic interactions in diseases such as Alzheimer’s and cancer.
His research interests lie at the intersection of genomics, systems genetics, and bioinformatics, where he develops and applies computational models to understand epistasis, pleiotropy, and gene network organization. He studies how genetic and environmental factors interact to influence biological outcomes, with applications in neurodegenerative diseases and cancer subtypes. His lab integrates multi-omics data—including genomic, transcriptomic, and epigenomic data—to build predictive models of disease mechanisms.
The recent publications highlight a strong focus on Alzheimer’s disease, cancer genomics, and meiosis regulation. His work frequently involves mouse models and large-scale datasets such as those from the Alzheimer’s Disease Sequencing Project and The Cancer Genome Atlas. A recurring theme is the development of computational tools like CAPE to dissect genetic complexity.
Greg Carter has received recognition through numerous peer-reviewed publications in high-impact journals such as Nature Neuroscience, PLoS Genetics, and Cell Reports. His collaborative research spans multiple institutions and laboratories, including the Howell, Paigen, and Handel labs.
He advises students and researchers in computational biology and systems genetics, and his lab is involved in grants related to Alzheimer’s disease modeling, cancer genomics, and genetic network analysis. He has developed software tools like CAPE for public use in genetic analysis. His team works closely with experimental biologists to validate computational predictions.
