Tag Archives: Cong Trinh
Trinh’s Research Highlighted by Department of Energy
Research by Ferguson Faculty Fellow Cong Trinh was highlighted on the DOE Office of Science’s website.
Endogenous Carbohydrate Esterases of Clostridium Thermocellum are Identified and Disrupted for Enhanced Isobutyl Acetate Production from Cellulose
Esters are versatile chemicals with broad applications as flavors, fragrances, solvents, and biofuels. By using bioinformatics and enzymatic characterization, Cong […]
Single Mutation at a Highly Conserved Region of Chloramphenicol Acetyltransferase Enables Isobutyl Acetate Production Directly from Cellulose by Clostridium Thermocellum at Elevated Temperatures
Cong Trinh and his research team discovered an engineered chloramphenicol acetyltransferase can be harnessed to create a novel thermophilic microbial […]
Microbial Biosynthesis of Lactate Esters
Cong Trinh’s lab developed novel microbial cell factories capable of producing lactate esters from fermentable sugars. This finding opens new […]
Multiobjective Strain Design: A Framework for Modular Cell Engineering
Cong Trinh’s research team developed a Modular Cell (ModCell) design computational tool that helps guide rapid generation of novel microbial […]
Exceptional Solvent Tolerance in Yarrowia lipolytica Is Enhanced by Sterols
Cong Trinh and his research team discovered exceptional solvent tolerance in Yarrowia lipolytica is enhanced by sterols. This finding enables […]
Trinh, Sangoro Honored with College Awards
Two CBE faculty members were honored at the Tickle College of Engineering’s 2019 Faculty and Staff Awards dinner, held April […]
Trinh Profiled for Faculty Appreciation Week
Cong Trinh, CBE associate professor and the Ferguson Faculty Fellow in Chemical Engineering, was profiled as part of UT’s Faculty Appreciation Week.
Faculty News 2018
News regarding several of UT’s Department of Chemical and Biomolecular Engineering faculty members.
Trinh Tackles Cells at Their Core
Ferguson Faculty Fellow Cong Trinh’s research combines a wide range of math, science, and computing with the goal to reduce lag times in identifying and responding to diseases.