Summary
Deepak Chandran is a senior data engineer with 14 years of multidisciplinary experience spanning data engineering, bioinformatics, metagenomics, and systems/synthetic biology, currently building data access and compute infrastructure for plant-based compound discovery in San Francisco. He combines hands-on pipeline engineering (Nextflow, Docker, AWS), full-stack development (React, Node.js), and statistical analysis to turn large-scale sequencing and AAV datasets into actionable insights. His career bridges industry and academia—from postdoctoral single-cell imaging and stochastic modeling to productionizing metagenomics and natural product discovery pipelines at startups and established R&D teams. Deepak’s background as a certified teacher and former educator informs his pragmatic documentation and mentoring style, while his unusual blend of wet-lab experience and software craftsmanship enables fast iteration between experimental design and computational analysis. He’s motivated by applying technical depth to global challenges, with a track record of integrating complex data systems after mergers and scaling bioinformatics workflows for discovery.
14 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy, Bioengineering and Biomedical Engineering, Doctor of Philosophy, Bioengineering and Biomedical Engineering at University of Washington
MS, Bioinformatics, MS, Bioinformatics at The University of Texas at El Paso
BS, Computer Science + Teaching certificate, BS, Computer Science + Teaching certificate at The University of Texas at Austin
PhD (transferred to Univ Washington), Systems Biology, PhD (transferred to Univ Washington), Systems Biology at Keck Graduate Institute
Malayalam, Hindi, English