Zeyad Emam

Senior ML Researcher at Apple

San Francisco, California, United States
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Summary

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Zeyad Emam is a Senior ML Researcher with eight years of experience bridging rigorous applied mathematics and production machine learning, currently at Apple in San Francisco. He is a PhD candidate in Computational and Applied Mathematics at UMD and a research fellow at NIH, where he applies ML to biomedical image segmentation and has published work on 3D electron microscopy and active learning. At Apple he shipped eye-tracking for Vision Pro and now works on egocentric multimodal LLMs, combining systems-level product impact with deep research. His academic work explores multi-scale transform methods to harden CNNs against adversarial attacks, reflecting a rare blend of theoretical signal-processing insight and practical, deployable ML.
code8 years of coding experience
job4 years of employment as a software developer
bookBachelor of Science - BS Aerospace Aeronautical and Astronautical Engineering, Bachelor of Science - BS Aerospace Aeronautical and Astronautical Engineering at University of Maryland - A. James Clark School of Engineering
bookFrench Baccalauréat, French Baccalauréat at Lycée Töpffer
bookDoctor of Philosophy - PhD Computational and Applied Mathematics, Doctor of Philosophy - PhD Computational and Applied Mathematics at University of Maryland
languagesFrench, Arabic, English
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Github Skills (40)

python10
machine-learning10
deep-learning10
tensorflow10
data-science9
ml9
deep-neural-networks9
neural-network9
netlify8
page-builder7
r7
hugo7
hugo-theme7
open-science7
rstudio7

Programming languages (5)

C++ScalaHTMLCythonPython

Github contributions (5)

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wronnyhuang/gen-viz

Jun 2019 - Jan 2021

Contributions:6 commits, 6 pushes in 1 year 7 months
zeyademam/active_learning

Nov 2021 - Nov 2021

Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.
Contributions:4 commits, 2 PRs, 2 pushes in 4 days
imagenetactive-learningdeep-learningtorchmachine-learning
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