Oded Ben-david is a machine learning researcher with 11 years of experience bridging physics, applied ML, and product-focused AI engineering. He currently leads ML and deep learning research at Agilent Technologies, applying computer vision and NLP to biological and biomedical data, after developing spectroscopy algorithms and deep-learning pipelines at Consumer Physics. A rehabilitated physicist with a PhD awarded the Aharon Katzir Prize, he combines rigorous Bayesian and Gaussian Process perspectives from academic visits with hands-on productionization experience as a co-founder and former CTO whose startup was acquired by Oracle. Comfortable moving between research questions and production constraints, Oded is known for deploying advanced models (autoencoders, GANs, DNNs/CNNs) to solve real-world sensing and bioinformatics problems.
11 years of coding experience
10 years of employment as a software developer
B.Sc, Physics and the Amirim Sciences program for outstanding students, Graduated Magna Cum Laude, B.Sc, Physics and the Amirim Sciences program for outstanding students, Graduated Magna Cum Laude at The Hebrew University of Jerusalem
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