Summary
Rebecca Adaimi is a research scientist specializing in multimodal sensing and machine learning, currently advancing motion, vision, audio, and sensor fusion research on Apple’s MIND team. With a PhD from UT Austin and eight years of experience across Apple, X (The Moonshot Factory), Intel, ŌURA, and academic labs, she builds adaptive and continual learning systems for real-time human behavior and health monitoring. Her work spans longitudinal wearable data, attention-based multimodal representation learning, and interpretable algorithms for physiological signals—skills she applied to health‑tech moonshots and Oura’s longitudinal analytics. Colleagues know her for translating complex sensor streams into practical, human-centered solutions and for combining deep learning rigor with experimental in-the-wild studies. An unexpected asset: she pairs advanced ML techniques with domain experience in biomedical signal processing and ultrasound modeling, giving her research an uncommon biophysical grounding.
8 years of coding experience
10 years of employment as a software developer
PhD Electrical Engineering, PhD Electrical Engineering at The University of Texas at Austin
Lebanese Baccalaureate 2, Lebanese Baccalaureate 2 at Saint Joseph School Cornet Chehwan
Harvard University
Bachelor of Engineering (BE) Electrical Electronics and Communications Engineering, Bachelor of Engineering (BE) Electrical Electronics and Communications Engineering at American University of Beirut