Summary
Chinmay Raut is a bioinformatics PhD candidate and software-minded computational biologist with 11 years of experience building scalable scripts and tools to model genetic and biological processes. Based in Ann Arbor, he studies the genetics of fatty liver in the Speliotes Lab while bringing a strong engineering background from roles at Genentech, Salesforce, and research at UC Irvine. He pairs statistical training (BS Statistics, Biostatistics MS coursework) with practical HPC, Python/C++ and web skills to deploy reproducible analysis pipelines and reduce compute bottlenecks. Notable past work includes accelerating genome simulation data extraction from quadratic to linear time in an open-source simulator and automating CryoEM data workflows to cut researcher overhead. Equally comfortable in research and production settings, he enjoys turning biological questions into efficient, well-tested code and is open to collaborations on interesting projects.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Statistics, Bachelor's degree, Statistics at University of California, Irvine