Ran Gilad-bachrach
Director National Knowledge Center For The Implementation Of AI In Government Ministries
Netanya, Center District, Israel
Summary
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Senior🎓
Top SchoolRan 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.
11 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 JerusalemLeo Back
English, Hebrew
Stackoverflow
110reputation
3kreached
2answers
6questions
Github Skills (47)
seal10
homomorphic-encryption9
java8
theano8
machine-learning7
python7
xml7
azure6
csv6
neural-network6
deep-learning6
cntk6
fhe6
classification6
algorithms6
Programming languages (5)
Github contributions (5)
TAU-MLwell/publication_list_generator
Sep 2021 - Jan 2024
Contributions:3 pushes, 1 branch in 2 years 4 months
ranigb/mydmx
Apr 2025 - Mar 2026
Contributions:9 pushes, 3 branches in 10 months
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