David Bernstein

David Bernstein is an Assistant Professor in the Department of Electrical and Biomedical Engineering at the University of Vermont, with a secondary appointment in Microbiology and Molecular Genetics. He holds a BS in Mechanical Engineering from the University of Vermont and a PhD in Biomedical Engineering from Boston University. Prior to UVM, he conducted postdoctoral research at the University of California, Berkeley.

His research focuses on systems biology, integrating bioinformatics, computational modeling, and machine learning to study microbial ecosystems. Key areas include genome-scale metabolic modeling, microbiome analysis, and environmental health applications. The Microbiome Metabolic Modeling (M-cubed) Lab develops computational tools to understand microbial interactions and design interventions for human diseases and environmental processes.

Research highlights include advancing genome-scale model accuracy through experimental validation and dynamic modeling of the infant gut microbiome. He has published in leading journals and presented at international conferences, emphasizing applications in environmental and human health.

Dr. Bernstein’s work spans computational biology, systems biology, and machine learning, with a focus on translating genomic data into actionable insights through multi-scale modeling. His lab’s COMETS platform exemplifies this approach, enabling spatiotemporal simulation of microbial ecosystems.