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Research Keyword: metabolic engineering

Faculty: Srivastava, Ranjan
Department: Chemical & Biomolecular Engineering
Excerpt: Dr. Srivastava’s research group focuses on using computational techniques, including mathematical modeling, machine learning, and data mining, to understand, engineer, and optimize biological processes and/or products. His research group validates their computational predictions through experimental studies. As a result, the lab has extensive experience in molecular biology, microbiology, and fermentation technology. Recent efforts include genome-scale […]
Categories | Keywords: antisense technology, bioinformatics, biotechnology, Chemical and Biomolecular Engineering, computational biology, data mining, machine learning, metabolic engineering, systems biology