Summary
Hoang Dinh is a computational biology postdoctoral researcher in Philadelphia with a decade of experience modeling metabolism across yeast, bacteria, and mammalian immune cells. Trained in chemical engineering (PhD) and bioengineering (MS), he blends optimization-based algorithms with omics-integrated network analysis to reveal metabolic drivers of cell growth and production. His work spans academic labs at Penn State, UC San Diego, and now UPenn’s Bioengineering department, coupling genome-scale and expression-aware models to account for enzyme cost and kinetic variability. Hoang’s research output is documented on Google Scholar and reflects a rare combination of engineering rigor and biological insight, often translating theoretical strain-design concepts into experimentally relevant predictions.
10 years of coding experience
8 years of employment as a software developer
University of California San Diego
Doctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at Penn State University
High School Diploma, Natural Sciences, High School Diploma, Natural Sciences at Nguyễn Thượng Hiền High School
English, Vietnamese