Jonathan Kahana
Doctoral Student at The Hebrew University of Jerusalem
Jerusalem District, Israel
Summary
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Senior🎓
Top SchoolJonathan Kahana is a third-year PhD candidate at the Hebrew University of Jerusalem specializing in deep learning, representation learning, and weight-space learning, building on eight years of hands-on experience in machine learning. His academic trajectory—BSc in Physics and Computer Science through MSc to ongoing doctoral research under Dr. Yedid Hoshen—reflects a strong foundation in both theory and applied ML. Prior work as a machine learning researcher with the Israeli Air Force gave him experience translating research into operational systems. Jonathan combines a physics-informed perspective with practical ML engineering, often exploring how weight-space interventions shape model behavior. Based in Jerusalem, he is focused on advancing principled representation methods with potential for real-world robustness and interpretability.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BSc), Physics and Computer Science, Bachelor of Science (BSc), Physics and Computer Science at The Hebrew University of JerusalemGithub contributions (5)
jonkahana/DCoDR
Mar 2022 - Aug 2022
Contributions:23 commits, 21 pushes in 5 months
jonkahana/CLIPPR
Nov 2022 - Dec 2022
Contributions:19 commits, 19 pushes, 1 branch in 8 days
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