Rebecca Adaimi

Research Scientist at Apple

United States
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Summary

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Senior
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Top School
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.
code8 years of coding experience
job10 years of employment as a software developer
bookPhD Electrical Engineering, PhD Electrical Engineering at The University of Texas at Austin
bookLebanese Baccalaureate 2, Lebanese Baccalaureate 2 at Saint Joseph School Cornet Chehwan
bookHarvard University
bookBachelor of Engineering (BE) Electrical Electronics and Communications Engineering, Bachelor of Engineering (BE) Electrical Electronics and Communications Engineering at American University of Beirut
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Github Skills (12)

mnist9
arxiv8
medical7
generative-adversarial-network6
paper6
time-series5
audio-processing1
audio-analysis1
audio-classification1
piano1
video-understanding1
multimodal-deep-learning1

Programming languages (2)

JavaPython

Github contributions (5)

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Contributions:12 commits, 11 pushes, 1 branch in 2 years 6 months
Human-Signals-Lab/LAPNet-HAR

Aug 2022 - Dec 2023

Contributions:3 pushes in 1 year 3 months
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