Director National Knowledge Center For The Implementation Of AI In Government Ministries
Netanya, Center District, Israel
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Summary
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Ran Gilad-bachrach is an associate professor and applied machine learning researcher with 11+ years of experience translating ML into real-world health and behavioral-change solutions. He leads the MLWell lab and several institutional initiatives at Tel Aviv University, including the Zimin Institute and a national knowledge center for deploying AI across government ministries. His work spans algorithm design, privacy and ethics, and technology for behavioral interventions, informed by long-term industry research roles at Microsoft and Intel. Ran combines deep academic training (PhD in Machine Learning/Math & CS) with hands-on deployment experience from R&D teams and government projects, enabling practical, privacy-aware systems. He is known for bridging rigorous research and operational impact—often focusing on subtle trade-offs between effectiveness and ethical constraints. Based in Netanya, Israel, he brings a rare mix of leadership, cross-sector collaboration, and expertise in making ML actionable in public health and policy contexts.
10 years of coding experience
16 years of employment as a software developer
Ph.D. Machine Learning, Ph.D. Machine Learning at The Hebrew University of Jerusalem
Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)
Contributions:23 pushes in 1 month
deep-learningmachine-learningpredictiontrees
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Ran Gilad-bachrach - Director National Knowledge Center For The Implementation Of AI In Government Ministries