Faculty Profiles
Adam Feist
Assistant Professor, Bioengineering
Shu Chien - Gene Lay Department of Bioengineering
Systems Biology; Laboratory Automation; Adaptive Laboratory Evolution (ALE); Genome-Scale Modeling; Synthetic Biology; Metabolic Engineering; Biomanufacturing; Microbial Physiology
Feist’s research integrates automation, adaptive laboratory evolution (ALE), and computational systems biology to uncover and engineer emergent properties in microbial systems. He pioneered the development of automated ALE platforms, experimental evolution design, and mutation analysis and databasing, enabling high-throughput discovery of beneficial genetic variants and microbial phenotypes. His work in biological network reconstruction and analysis has advanced genome-scale modeling of metabolic networks, leading to predictive frameworks that connect genotype to phenotype. Rooted in quantitative biology and multi-dimensional measurements of microbial physiology and phenotypes, Feist’s research has advanced applications in biomanufacturing, metabolic engineering, and synthetic biology, including microbial production of sustainable fuels and chemicals, plastic upcycling, and engineering microbial systems for biomedical applications. By uniting automation with big-data analytics and model-driven design, Feist develops tools and strategies that accelerate strain optimization and bioprocess scale-up across industrial and biomedical domains.
Capsule Bio:
Adam M. Feist received his Ph.D. (2008) and M.S. (2005) in Bioengineering from Âé¶¹´«Ã½ and his B.S. in Chemical Engineering from the University of Nebraska–Lincoln (2003). Prior to joining the faculty, Feist served as a Research Scientist in the Systems Biology Research Group led by Bernhard Palsson at Âé¶¹´«Ã½ and as a Senior Researcher at DTU Biosustain at the Technical University of Denmark, where he led interdisciplinary efforts in adaptive laboratory evolution, laboratory automation, and genome-scale modeling. He also has two years of industry experience at a startup commercializing genome-scale modeling applications in biomanufacturing and healthcare.
Feist has authored more than 120 peer-reviewed publications, holds multiple patents, and has been consistently ranked among the Top 2% of most cited researchers worldwide by PLOS Biology. His honors include the Jay Bailey Young Investigator Award in Metabolic Engineering (2018) and the Jacobs School of Engineering Woolley Award and Fellowship for Leadership during his graduate studies at Âé¶¹´«Ã½. His research has been supported by the U.S. Department of Energy, the National Institutes of Health, and the Novo Nordisk Foundation. In addition to his research leadership, Feist is an experienced mentor, having advised numerous Ph.D. and M.S. students, postdoctoral scholars, and early-career researchers.
Selected Publications:

Email:
afeist@ucsd.edu
Office Phone:
858-534-9592