Roei Herzig
Staff Research Scientist at IBM
Tel Aviv-Yafo, Tel Aviv District, United States
Summary
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Senior🎓
Top SchoolRoei Herzig is a Staff Research Scientist with a decade of experience building multimodal AI and computer vision systems, currently developing next-generation foundation models at IBM. He holds a PhD from Tel Aviv University and was a visiting researcher at UC Berkeley under Prof. Trevor Darrell, blending deep academic rigor with industrial research impact. His work focuses on compositionality to boost robustness and generalization across vision, language, and robotics, with publications including oral presentations at major conferences like ICCVW and CVPR. Roei’s background spans startups and industry R&D—from autonomous driving and retail image recognition to genome mapping—revealing an ability to translate theoretical ideas into practical, deployable systems. Notably, he combines strong algorithmic foundations with hands-on system building, driving advances in how models understand and compose complex visual concepts.
10 years of coding experience
10 years of employment as a software developer
Postdoctoral Scholar, Computer Science, Postdoctoral Scholar, Computer Science at University of California, BerkeleyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Tel Aviv University
English, Hebrew
Github Skills (46)
permutation9
representations9
scene9
prediction9
classification-algorithm8
graph-representation-learning8
graph-embedding8
optical-flow8
kernel-methods8
scene-graph7
attention-mechanism7
graph7
coco7
efficientnet6
factorization6
Programming languages (3)
Github contributions (5)
shikorab/SceneGraph
Mar 2018 - Jul 2019
Scene Graphs with Permutation-Invariant Structured Prediction
Contributions:8 commits, 11 pushes, 4 comments in 1 year 5 months
predictionstructuredinvariantmachine-learninggraphs
roeiherz/roeiherz.github.io
Jul 2019 - Sep 2024
Contributions:215 pushes, 1 branch in 5 years 2 months
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