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| Udi Manber | |
|---|---|
| Name | Udi Manber |
| Birth date | 1961 |
| Birth place | Haifa, Israel |
| Nationality | Israeli-American |
| Occupation | Computer scientist, engineer, executive |
| Known for | Search algorithms, machine learning, information retrieval |
| Alma mater | Technion, University of Washington |
Udi Manber
Udi Manber is an Israeli-American computer scientist and technology executive known for work in search engines, information retrieval, and machine learning. He has held senior research and management positions across academia and industry, contributing to foundational algorithms and large-scale systems used at institutions such as the University of Washington, Yahoo!, Amazon.com, Google, and TikTok (ByteDance). His career bridges academic research at the Technion – Israel Institute of Technology and industrial leadership at major technology companies and startups.
Manber was born in Haifa, Israel, and pursued undergraduate studies at the Technion – Israel Institute of Technology, where he studied computer science and engineering alongside contemporaries from institutions such as the Hebrew University of Jerusalem and Tel Aviv University. He later moved to the United States for graduate study at the University of Washington, earning a Ph.D. in computer science during a period when the university hosted research groups connected to the SIGIR community and collaborations with researchers from the Stanford Research Institute and Microsoft Research. During his graduate training he worked on topics overlapping with the literature from the Association for Computing Machinery and engaged with seminars that included participants from the Massachusetts Institute of Technology and Carnegie Mellon University.
Manber began his research career in algorithm design and information retrieval, publishing work that appeared in conferences associated with the Association for Computing Machinery and journals tied to the Institute of Electrical and Electronics Engineers. His academic collaborations connected him with faculty from the University of California, Berkeley and researchers at the International Conference on Very Large Data Bases. Early publications addressed pattern matching, string algorithms, and approximate matching problems similar to those studied by researchers at Bell Labs and the IBM Research labs. Manber’s academic network included peers from the Courant Institute of Mathematical Sciences and visiting scholars from institutions such as the California Institute of Technology.
Moving to industry, Manber joined the search and information retrieval efforts at companies that shaped web search and e-commerce. He served in leadership roles at Yahoo!, where he worked within teams that interfaced with groups from Oath (Verizon) and engaged with initiatives visible to the World Wide Web Consortium. At Amazon.com, he led search-related product and research teams that collaborated with engineering organizations comparable to those at eBay and A9.com. Manber later joined Google and took on executive responsibilities integrating large-scale machine learning and ranking systems, interacting with product teams linked to the Android and YouTube ecosystems. Most recently, he held senior positions at ByteDance and its platform TikTok (ByteDance), overseeing efforts that intersected with content recommendation, data infrastructure, and teams with backgrounds from Snap Inc. and Pinterest. Throughout his industry tenure he also advised startups and venture-backed companies, connecting to networks including Sequoia Capital, Andreessen Horowitz, and incubators akin to Y Combinator.
Manber contributed to classical and applied aspects of search algorithms, including work on suffix arrays, approximate string matching, and indexing strategies that relate to foundational techniques developed at Bell Laboratories and by researchers from Princeton University. His research influenced large-scale web indexing, ranking, and query processing systems used at companies such as Google and Yahoo!, and intersected with machine learning methodologies promoted at conferences like NeurIPS, ICML, and KDD. Manber’s work spans information retrieval, recommendation systems, and practical applications of supervised and unsupervised learning similar to efforts at Facebook and Netflix for ranking, personalization, and relevance. He advocated integrating experimentation platforms and A/B testing infrastructures of the kind adopted by engineering teams at LinkedIn and Twitter to measure user engagement and system performance. His technical leadership emphasized scalability, latency reduction, and hybrid algorithmic–statistical approaches comparable to those in papers from Microsoft Research.
Manber’s contributions have been recognized by peers across academia and industry, with invited talks at venues associated with the Association for Computing Machinery, the Institute of Electrical and Electronics Engineers, and major conferences including SIGIR and WWW (International World Wide Web Conference). He has been cited in patents filed by organizations analogous to Amazon.com and Google and has served on program committees alongside researchers from Stanford University and Harvard University. Professional acknowledgments include invitations to industry summits and advisory roles for research labs with ties to institutions such as IBM Research.
Manber’s career reflects the migration of foundational computer science ideas from academic settings like the University of Washington and the Technion – Israel Institute of Technology into products at companies including Yahoo!, Amazon.com, Google, and ByteDance. Colleagues and mentees from organizations such as Microsoft Research, Bell Labs, and Carnegie Mellon University cite his blend of algorithmic rigor and product-focused engineering as influential. His legacy continues through technologies in search and recommendation systems and through the engineers and researchers who advanced from teams he led to roles at firms including Pinterest, Snap Inc., and LinkedIn.
Category:Computer scientists Category:Israeli emigrants to the United States