Scholar
Ravid Shwartz-Ziv
Google Scholar ID: SqsLFwMAAAAJ
New York University
Citations & Impact
Citations
5,143
H-index
20
i10-index
22
Publications
20
Co-authors
22
list available
Publications
Resume (English only)
Academic Achievements
- - Pioneer in applying information theory to neural networks, with seminal work featured in Quanta Magazine and Wired
- - Published extensively in top-tier venues (NeurIPS, ICLR, ICML)
- - Google PhD Fellowship recipient (2018-2021)
- - Best Paper Award, Information Fusion journal (2023)
- - CPAL Rising Star Award, The University of Hong Kong (2023)
- - Moore-Sloan Fellowship, NYU (2021-2022)
Research Experience
- - Senior AI Researcher & Team Lead, Wand AI, Jan 2023 – Present
- - Assistant Professor and Faculty Fellow, NYU, Center for Data Science, Sep 2021 – Present
- - Senior AI & Data Science Researcher, Intel, Jan 2020 – Dec 2023
- - Research Student, Google AI, Jun 2019 – May 2020
- - AI & Data Science Researcher, Intel, Feb 2013 – May 2019
- - Algorithm and Web Developer, Wikipedia, Jan 2010 – Jan 2013
Education
- Ph.D. in Computational Neuroscience, 2021, Hebrew University of Jerusalem
- B.Sc. in Computer Science and Computational Biology, 2014, Hebrew University of Jerusalem
Background
- Assistant Professor and Faculty Fellow at NYU’s Center for Data Science, leading cutting-edge research in artificial intelligence, particularly focusing on Large Language Models (LLMs) and their applications. His work spans theoretical foundations and practical implementations, combining academic rigor with industry impact.
Miscellany
- Interests include: Large Language Models (LLMs), Model Efficiency & Compression, Information Theory, Neural Network Interpretability, Self-Supervised Learning, Representation Learning, Multi-Agent Systems, Personalization in AI
