Scholar
Moe Kayali
Google Scholar ID: jkS31a4AAAAJ
University of Washington
Citations & Impact
Citations
166
H-index
5
i10-index
3
Publications
11
Co-authors
17
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Papers published:
- - 2025 VLDB accepted paper 'Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation'
- - 2025 CIDR accepted paper 'Mind the Data Gap: Bridging Large Language Models (LLMs) to Enterprise Data Integration'
- - 2024 VLDB Best Paper (runner up) 'CHORUS: Foundation Models for Unified Data Discovery and Exploration'
- - 2022 VLDB paper 'Quasi-stable Coloring for Graph Compression: Approximating Max-Flow, Linear Programs, and Centrality'
- Preprints:
- - 2025 ArXiv preprint 'SSH-Passkeys: Leveraging Web Authentication for Passwordless SSH'
- Patents:
- - 2020 'Systems and methods for facilitating cybersecurity risk management of computing assets'
- Awards and Fellowships:
- - Allen School Leadership Award - 2024
- - Best Adult Skier - Mountaineers Ski School, 2024
- - Herbold Fellowship - 2022
- - Outstanding CS Senior - 2020
Research Experience
- Previously worked at Microsoft Research, Aryn Inc., Virta Laboratories, and the Gray Systems Lab.
Education
- PhD Student, School of Computer Science, University of Washington--Seattle. Advisor: Prof. Dan Suciu.
Background
- Interests: data management systems, AI for DB, graph data, cybersecurity. Short bio: Builds algorithms and systems that bridge the semantic gap, particularly in semi-structured and graph data.
Miscellany
- Personal interests: Not specifically mentioned
