Neha Shaikh

At Datar Cancer Genetics, I analyse integrated genomic, transcriptomic, and clinical datasets to uncover biomarkers, stratify patients, and identify treatment-response associations across cancer types.

I lead scientific and bioinformatics design for a multi-module precision health and longevity platform, spanning biomarker selection, assay feasibility, interpretation logic, databases, and reporting workflows. I performed the core analysis and statistical interpretation behind 15 accepted ASCO 2026 and four accepted ESMO 2026 abstracts.

My work combines R, Python, UNIX/Linux, RNA-seq, variant analysis, and clinical data interpretation to create reproducible workflows for translational oncology.

Previously, at Columbia University Irving Medical Center, I generated single-cell, single-nucleus, spatial, and multi-omic cancer datasets. My research has contributed to publications in Nature Medicine, Nature Genetics, Cell Reports Medicine, and a first-author Cell Reports Methods paper.