Zachary D Zbinden

OverviewAI-generated summary

Zachary D Zbinden's research focuses on the application of machine learning techniques to biological data, specifically in the area of phylogenetics and biodiversity. His recent work includes the development of GeoGenIE, a deep learning model designed to predict the geographic origin of biodiversity samples using genomic single nucleotide polymorphisms (SNPs). This approach aims to enhance the understanding of sample provenance in biological research.

Zbinden collaborates with researchers at the University of Arkansas at Fayetteville, including Michael E. Douglas, Bradley T. Martin, and Tyler K. Chafin, with whom he has co-authored publications. His academic contributions to date include a total of one publication, with his most recent work published in 2024, indicating recent activity in his field.

Metrics

• Publications: 1