Summary
Apratim Mitra is a Staff Scientist and computational biologist with over a decade of hands-on experience translating genomics and transcriptomics data into publishable biological insight at the NIH. He leads interdisciplinary projects—from biomarker discovery to spatial transcriptomics—builds production-grade RShiny apps used by 40+ labs, and creates reproducible NGS pipelines and open-source tools that bridge research and operational needs. His background combines a PhD in Bioinformatics with strong quantitative roots in mathematics and computer science from IIT Kharagpur, enabling novel method development such as wavelet-based peak calling and bespoke analysis algorithms. Comfortable across cloud, local HPC, and web-deployed interfaces, he also mentors junior scientists and shapes institutional strategy around data organization and reproducibility. Notably, he actively explores emerging areas like genome assembly and applying LLMs to genomic analysis, bringing both technical depth and curiosity to complex biological problems.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Bioinformatics and Computational Biology, Doctor of Philosophy (PhD) Bioinformatics and Computational Biology at University of Maryland
Master of Science (M.Sc.) & Bachelor of Science (B.Sc.) Mathematics and Computer Science, Master of Science (M.Sc.) & Bachelor of Science (B.Sc.) Mathematics and Computer Science at Indian Institute of Technology, Kharagpur