Summary
Galib Khan is a PhD candidate in Chemical Engineering at the University of Tennessee specializing in machine learning–driven metabolic network modeling, pathway engineering, and bioprocess optimization. With eight years of hands-on experience spanning research roles and entrepreneurship, he co-founded Bohubrihi—an EdTech startup that reached tens of thousands of learners—before transitioning to academic research and field projects like cleaner brick manufacturing in Bangladesh. At Trinh Lab he applies ML and optimization to protein and modular cell design, collaborating with CBI and ORNL to translate models into experimental workflows. Comfortable bridging data analysis, lab work, and real-world implementation, he combines startup-scaling experience with rigorous engineering training from BUET and UTK. An early programmer turned metabolic modeler, he brings a rare blend of product-minded thinking and domain expertise in omics-informed strain design.
8 years of coding experience
2 years of employment as a software developer
HSC, Science, GPA 5.00, HSC, Science, GPA 5.00 at ST. Joseph Higher Secondary School,Dhaka
SSC, Science, GPA 5.00, SSC, Science, GPA 5.00 at Monipur High School,Dhaka
Bachelor of Science (B.Sc.), Chemical Engineering, CGPA 3.09/4.00, Bachelor of Science (B.Sc.), Chemical Engineering, CGPA 3.09/4.00 at Bangladesh University of Engineering and Technology
Doctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at University of Tennessee, Knoxville
English, Bengali