Sumayah Rahman is an AI and data science leader with eight years of experience building and scaling ML-driven products across healthcare and finance. Currently serving as Interim Head of AI and Strategic Partnerships at Legacy and formerly leading Applied AI/ML at Cedar, she has launched revenue-generating GenAI features and patient-facing automation that improved affordability and care navigation. Her background spans industry (Apple, Intuit, Point72 Ventures) and academia (PhD from UC Berkeley), where she translated large-scale signal and genomic data into deployable algorithms and clinical-grade health metrics. A hands-on manager, she has built cross-functional teams and data infrastructure while also advising startups and coaching professionals through career pivots. Sumayah’s work uniquely bridges rigorous research, product strategy, and commercial partnerships—she even holds a patent contribution for Apple health algorithms—while balancing mentorship and unexpected roles like running a career coaching practice.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Thesis: Novel applications of machine learning and statistics for genome-resolved metagenomics, Doctor of Philosophy (PhD) Thesis: Novel applications of machine learning and statistics for genome-resolved metagenomics at University of California, Berkeley
Engineering Leadership (Strategy & Opportunity Recognition Operations Finance Product Management), Engineering Leadership (Strategy & Opportunity Recognition Operations Finance Product Management) at UC Berkeley College of Engineering
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at Northeastern University
This repository is for the Data-X project materials
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