Summary
Saba Emrani is a Health Algorithms Manager at Apple with nearly a decade of hands-on experience translating physiological sensor data into validated machine learning products for consumer health. She holds a PhD in Electrical Engineering and has led development of FDA-submitted ECG classification algorithms and fertility prediction features for Apple Watch, blending signal processing, statistical rigor, and practical embedded constraints. Her background spans academia and industry—from inventing low-power wearable algorithms and topological signal techniques to producing KDD papers and patents—so she bridges deep research with production-grade deployment. Known for extracting weak biosignals from noise and designing interpretable models for clinical endpoints, she excels at turning noisy, high-frequency sensor streams into actionable health insights.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical Engineering, 4.2/4, Doctor of Philosophy (Ph.D.), Electrical Engineering, 4.2/4 at North Carolina State University
Amirkabir University of Technology
MS, Electrical Engineering, 3.94/4, MS, Electrical Engineering, 3.94/4 at The University of New Mexico
English