Aaron J. Berliner

The paper isolates and characterizes a Halomonas species capable of producing bio-polyesters from sustainable feedstocks under non-axenic conditions.

The paper identifies Systemic Genome Correlation Loss as a key biosignature of spaceflight by analyzing transcriptomic data from multiple datasets.

This paper introduces data-driven flow-map models for efficiently discovering dynamics and quantifying uncertainty in biochemical systems using polynomial chaos Kriging.

This paper engineers Cupriavidus necator H16 to produce aromatic polyhydroxyalkanoates from renewable feedstocks, demonstrating biocatalytic synthesis of bio-polyesters with properties similar to synthetic polymers.