• Activity lead for a Department of Energy SFA, resulting in 1 published first author manuscript and 3 manuscripts in preparation. • Dev on a team producing a novel pipeline integrating generative protein structure prediction and experimental growth data to increase the annotation of bacterial genome scale models (GEM’s) to predict metabolite exchange between microbial community members, resulting in 10-20% increases in accuracy or growth prediction from GEM’s. • Awarded internal independent research funding to develop foundational generative models in domain expertise area (biology) and integrate Neo4j knowledge graph databases. • Leading the use of spatial/network deep learning techniques at PNNL for analysis of metagenomic cross-sectional studies investigating host-associated microbiome changes during stress.
Listed skills include Genetics, Laboratory, Research, Marine Biology, and 18 others.