Clinical bioinformatics with an engineering spine

Kaizen Nathani works across clinical NGS, oncology informatics, AI-assisted biomedical automation, and data engineering. His portfolio spans variant review support, sequencing QC automation, PhIP-Seq and multi-omics cancer research, clinical data extraction, and ML-ready pipelines for translational precision oncology.

Kaizen builds practical biomedical systems for precision oncology: NGS quality control, variant review support, data pipelines, structured clinical extraction, and translational cancer research workflows. His work connects clinical context with reproducible computation, making complex data easier to inspect, validate, and use.