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Faculty Profile

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Name: Ranjan Srivastava
Title: Associate Professor & Biomolecular Program Director
Affiliation:
Department: Chemical & Biomolecular Engineering
E-Mail: ranjan@engr.uconn.edu
Personal/Lab Website: http://rslabs.org
Program/Department Website: http://www.cbe.engr.uconn.edu/ranjan-srivastava
Office Telephone: (860) 486-2802



Keywords | Categories: antisense technology, bioinformatics, biotechnology, Chemical and Biomolecular Engineering, computational biology, data mining, machine learning, metabolic engineering, systems biology

Professional Summary

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 metabolic modeling to identify drug targets and predict drug efficacy against infectious diseases; development of software tools capable of designing extremely efficient and effective antisense molecules; and text/data mining the biological literature and database to discover/predict reaction behavior of different molecules with each other.