Rishi Roy is a bioinformatics researcher and software engineer with a decade of experience applying machine learning to molecular and proteome-scale problems. He holds a PhD in Biotechnology and blends rigorous academic research with practical software engineering skills honed as a former Lead Engineer at HCL. His work includes building Pro-Gyan, a system that generates executable protein classifiers from raw sequences, and a classifier for bacterial chaperone dependency that revealed genome nucleotide composition correlations with chaperone reliance. At the University of Helsinki he continues to bridge data science and biology, developing tools that enable experimentalists to create their own classifiers without deep computational expertise. Comfortable across programming, databases, and ML, he brings both production engineering discipline and curiosity-driven research to translational biodata analytics.
10 years of coding experience
12 years of employment as a software developer
B.Sc., Physics Hons, B.Sc., Physics Hons at Barasat Govt. College
Doctor of Philosophy - PhD, Biotechnology, Doctor of Philosophy - PhD, Biotechnology at Institute of genomics and integrative biology (CSIR)
Master of Computer Applications (MCA), Computer Science, Master of Computer Applications (MCA), Computer Science at Bengal Engineering and Science University, Shibpur
A slurm based schema for RNA-seq analysis to execute on linux clusters.
Contributions:1 release, 224 commits, 1 PR in 4 years 6 months
slurmrna-seq-analysisclusterslinuxbioinformatics
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Rishi Roy - University Researcher, Biodata Analytics Unit