Summary
Noa Rappaport is a computational biologist and data science leader with over eight years of experience building large-scale multiomics frameworks that translate complex biological data into actionable insights for aging and precision health. Currently a Research Associate Professor at the Buck Institute and CDO at Phenome Health, she bridges academic rigor and product-focused implementation, integrating AI, mathematical modeling, and trajectory analyses across multi-institutional collaborations. At the Institute for Systems Biology she advanced population-scale multi-omic studies to discover biomarkers and disease mechanisms, and she has led long-running knowledge projects like MalaCards at the Weizmann Institute. Known for marrying strategic vision with hands-on technical execution, she excels at turning noisy, heterogeneous biological datasets into robust, clinically relevant signals.
8 years of coding experience
6 years of employment as a software developer
BA, Biology Interdesciplinary- Technion excellence program, BA, Biology Interdesciplinary- Technion excellence program at Technion - Israel Institute of Technology
Weizmann Institute of Science