Summary
Rohit Farmer is a computational biologist with eight years of interdisciplinary experience applying machine learning, high-dimensional statistics, molecular modeling, and molecular dynamics to problems in immunology, drug metabolism, and bioinformatics. Currently at the NIH’s Center for Human Immunology and consulting at MSC, he leads analysis of single-cell datasets and develops scalable methods and software on HPC platforms. His background spans academic research and teaching—PhD from University of Birmingham and prior roles building deep learning models for toxicity prediction at Washington University—bringing a mix of rigorous methodology and practical, publication-driven outcomes. Comfortable across several programming languages and data-science toolchains, he is as self-driven in independent research as he is collaborative on cross-disciplinary teams. An oft-overlooked strength is his track record of translating complex computational pipelines into reproducible code and peer-reviewed papers, evidenced by a sustained publication record and an academic CV.
8 years of coding experience
7 years of employment as a software developer
B.Tech, Biotechnology (Genetic Engineering), 8.25, B.Tech, Biotechnology (Genetic Engineering), 8.25 at Allahabad Agricultural Institute
Doctor of Philosophy (PhD), Biosciences, Doctor of Philosophy (PhD), Biosciences at University of Birmingham
Class 12th, Physics, Chemistry, Maths and Computer Science, 71%, Class 12th, Physics, Chemistry, Maths and Computer Science, 71% at Bishop Johnson School and College
M.Tech, Bioinformatics, 9.35, M.Tech, Bioinformatics, 9.35 at Sam Higginbottom Institute of Agriculture, Technology and Sciences
English, Hindi