Summary
Ayshwarya Subramanian is an Assistant Professor at Cornell University and computational biologist with 11 years of experience probing how cells organize across tissue, organismal, and population scales in health and disease. She works at the intersection of high-throughput omics, applied statistics, and machine learning to study cellular heterogeneity, evolution, and systems immunology, with applications in kidney disease and cancer. Previously she led computational teams and data infrastructure at the Broad Institute’s Evergrande Center and Klarman Cell Observatory, translating single-cell and meta-omics methods into scalable analysis pipelines. Her training spans a PhD in computational biology, multiple postdocs in biostatistics and genomics, and hands-on experimental work dating back to pathology internships, giving her a rare bridge between wet-lab and computational practice. Colleagues value her for mentoring early-career researchers and for combining rigorous statistical modeling with practical experimental design. An often-overlooked strength is her background in law and entrepreneurship, which informs thoughtful data stewardship and cross-disciplinary collaboration.
11 years of coding experience
6 years of employment as a software developer
Senior Honors Thesis Mathematical Biology, Senior Honors Thesis Mathematical Biology at Max Planck Institute for the Dynamics of Complex Technical Systems
BITS Pilani, Birla Institute of Technology and Science
B.B.A L.L.B Law, B.B.A L.L.B Law at Symbiosis Law School, Pune
Ph.D Biological Sciences(Computational Biology), Ph.D Biological Sciences(Computational Biology) at Carnegie Mellon University