Johnny Israeli
Sr Manager, AI & Cloud Software at NVIDIA
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolJohnny Israeli is an engineering leader with 12 years of experience building GPU-accelerated AI software at NVIDIA, currently leading Physical AI data search efforts that power VLM/VLA workflows in autonomous systems, healthcare, and robotics. He has a track record of founding and scaling cross-disciplinary teams and platforms—having built NVIDIA’s Genomics and BioNeMo initiatives and shipping tools like GenomeWorks, AtacWorks, and Parabricks integrations that advanced genomic and epigenomic analysis. Trained as a PhD in biophysics with strong math and physics foundations, he bridges deep scientific research and production-grade engineering to deliver high-performance ML pipelines. Known for growing ecosystems as well as software, he has mentored students and driven community-facing projects that helped move deep learning in biology from research demos to widely adopted toolchains.
11 years of coding experience
University of KansasPhD, Biophysics, PhD, Biophysics at Stanford University
English, Hebrew, Russian
Github Skills (37)
pytorch10
biology10
python10
data-science10
logistics10
machine-learning10
sensitivity-analysis10
deep-learning10
tensorflow10
bioinformatics10
genomics10
dna-sequences10
sequence10
package-management9
quantum-chemistry9
Programming languages (4)
Github contributions (5)
kundajelab/genomelake
Feb 2018 - Apr 2018
Simple and efficient access to genomic data for deep learning models.
Contributions:1 release, 45 commits, 9 PRs in 1 month
deep-learninggenomicdeep-learning-models
jisraeli/dragonn
Jan 2017 - Jan 2017
Contributions:2 commits, 1 PR, 22 pushes in 1 day
deep-neural-networksneural-networksgenomicsregulatory
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