Summary
Arifur Rahman is a PhD candidate and graduate research assistant in proteomics at Wayne State University with six years of experience spanning LC-MS/MS, cell biology, immunoassays, and bioinformatics. He has optimized protocols and calibrated instruments to improve protein detection sensitivity by 30%, analyzed over 500 LC-MS/MS samples on PNPLA3 mutants, and developed a dynamic PPI network that advanced understanding of NAFLD. Previously a faculty member and industry R&D/Product professional, he combines hands-on molecular skills—protein expression, purification, enzymatic assays—with computational analysis and SOP-driven project management. He mentors students and leads discussion-based teaching, contributing to multiple successful theses and earning departmental citation awards. Unusually for a wet-lab scientist, he also brings software engineering experience from GreenHouse Tech and Enosis Solutions, enabling smoother integration of computational pipelines into experimental workflows.
6 years of coding experience
2 years of employment as a software developer
Master's degree, Clinical Pharmacy & Pharmacology, 4.00, Master's degree, Clinical Pharmacy & Pharmacology, 4.00 at University of Dhaka
Doctor of Philosophy - PhD, Proteomics, 3.87, Doctor of Philosophy - PhD, Proteomics, 3.87 at Wayne State University Eugene Applebaum College of Pharmacy and Health Sciences
English, Bengali