Summary
Piyush Ranjan is an experienced bioinformaticist based in Ann Arbor with over a decade in computational biology and 6+ years focused on genomic and metagenomic research. He builds and optimizes end-to-end NGS pipelines for whole genomes, single-cell genomes, metagenomes and CRISPR off-target analysis, and has developed algorithms and databases for RNA secondary structure modeling. His work spans machine learning for biological property prediction and structure-based ligand/drug design, bridging algorithmic innovation with practical pipeline deployment at Michigan Medicine and in graduate research at Georgia Tech. A practiced communicator and educator, he has led large graduate and undergraduate courses and translated complex methods into teachable workflows. Notably, his background combines deep algorithm development for RNA structure with hands-on drug docking and ML model implementation, enabling both hypothesis-driven research and production-ready analyses.
12 years of coding experience
6 years of employment as a software developer
Master's degree, Biology, General, 3.73/4, Master's degree, Biology, General, 3.73/4 at Georgia Institute of Technology
Bachelor of Technology, Bioinformatics, 7/10, Bachelor of Technology, Bioinformatics, 7/10 at Jaypee University of Information Technology