Naisha Shah

Naisha leads a team of data scientists at BioAge that are developing statistical/ML/AI pipelines to identify targets for new therapeutics to increase healthspan. The team leverages proprietary human cohorts with longitudinal omics and phenotypic data for data-driven insights into mechanisms of aging and age-related diseases.

Naisha brings 10+ years of experience in computational analysis of multi-omics, clinical, imaging, EHR, and other phenotypic data to gain insights into human diseases. She has published 25 papers in the areas of biomarker discovery, genomics and systems biology, and 2 filed patents on multimodal signatures in diagnosis and prognosis of aging diseases.

Before joining BioAge Labs, Naisha was an associate professor at the J. Craig Venter Institute and led a data science team at Human Longevity Inc that identified multimodal biomarker signatures of health and built disease risk prediction models. Naisha received her Ph.D. in computational genomics from University College Dublin, followed by postdoctoral training in machine learning and systems biology at the National Institute of Allergy and Infectious Diseases.