Scholar
Neil Shah
Google Scholar ID: Qut69OgAAAAJ
Research Scientist at Snap
Citations & Impact
Citations
6,389
H-index
39
i10-index
79
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- - Multiple papers accepted at top conferences such as KDD 2025, ICML 2025, SIGIR 2025, WWW 2025, etc.
- - Introduced the first multimodal graph learning benchmark at CVPR 2025.
- - Published work on test-time message passing for collaborative filtering at NeurIPS 2024.
- - Presented language models for content moderation at ACL 2024.
Research Experience
- - Currently a research scientist and manager at Snap, working on user modeling and personalization projects.
- - During his Ph.D., he worked on discovering and modeling various types of abusive online behaviors in large networks.
Education
- - Ph.D. in Computer Science from Carnegie Mellon University, advised by Christos Faloutsos.
- - B.S. in Computer Science from North Carolina State University, worked with Nagiza Samatova on reduction, indexing, and storage systems for large-scale scientific data.
Background
- Currently a research scientist and manager at Snap Research, leading a team on fundamental and applied research initiatives in user modeling and personalization across Snapchat. Broadly interested in advancing the state-of-the-art in machine learning algorithms and applications in large-scale structured data, such as graph and sequential representations, and generative recommendation systems. Particularly focused on applications to recommendation systems and trust and safety problems at scale.
Miscellany
- Hiring research interns for Fall/Winter 2025 in large-scale graph and generative representation learning for recommendation systems.
