David Beniaguev
PhD Candidate
Tel Aviv-Yafo, Tel Aviv District, Israel
Summary
👤
Senior🎓
Top SchoolDavid Beniaguev is a PhD candidate and experienced computer vision researcher with 11 years of practice building generative image models and face-related systems for both startups and Microsoft Research. He led early technical efforts at D-ID, shipping face de-identification and seamless video anonymization pipelines, and has a strong track record in deep learning frameworks (PyTorch, TensorFlow, Keras) and production-ready model engineering. His academic work in computational neuroscience produced a highly-cited Neuron paper on mathematical descriptions of single neurons, reflecting a rare blend of theoretical rigor and practical ML skill. A former top-100 Kaggle competitor and repeat prize winner, he also publishes code and notebooks openly on GitHub and Kaggle, demonstrating hands-on reproducibility. Based in Tel Aviv, he thrives on ill-defined, hard problems and applies neuroscience insights to push generative modeling and perceptual approximations forward.
11 years of coding experience
5 years of employment as a software developer
Bsc, Electrical Engineering, 85, Bsc, Electrical Engineering, 85 at Technion - Israel Institute of TechnologyPhD, Computational Neuroscience, PhD, Computational Neuroscience at The Hebrew University
Github Skills (25)
code-behind9
artificial-neural-networks9
neurons8
temporal7
pattern-recognition7
tuple7
machine-learning7
neuroscience6
deep-learning6
tensorflow6
abaqus6
stylegan6
iterative6
connectivity6
pattern6
Programming languages (2)
Github contributions (5)
SelfishGene/neuron_as_deep_net
Mar 2020 - Nov 2021
code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks"
Contributions:13 commits, 2 PRs, 14 pushes in 1 year 7 months
code-behinddeep-learningneural-networksmachine-learningartificial
SelfishGene/visual_taste_approximator
Sep 2022 - Sep 2022
Contributions:4 commits, 3 pushes, 1 branch in 5 days
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