Scholar
Skyler Hallinan
Google Scholar ID: mO_tZ94AAAAJ
PhD Student
Citations & Impact
Citations
2,786
H-index
9
i10-index
9
Publications
14
Co-authors
0
Publications
Resume
Academic Achievements
- Published multiple papers including 'OpaqueToolsBench: Learning Nuances of Tool Behavior Through Interaction' (submitted to ICLR 2026), 'The Surprising Effectiveness of Membership Inference with Simple N-Gram Metrics' (CoLM 2025), 'Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning' (NeurIPS 2025), and others.
Research Experience
- Completed research internships at Samaya AI, Apple, and Amazon AWS. Research focuses on data-driven and algorithmic approaches to building language models with stronger, more reliable reasoning abilities.
Education
- Completed a B.S./M.S. in computer science at the University of Washington, along with a B.S. in bioengineering. Currently pursuing a Ph.D. in Computer Science at the University of Southern California, advised by Sai Praneeth Karimireddy and Xiang Ren.
Background
- Ph.D. student in Computer Science, focusing on data-driven and algorithmic approaches to building language models with stronger, more reliable reasoning abilities. Research areas include understanding how data shapes model behavior, lightweight yet effective methods to advance reasoning, and enabling autonomous reasoning.
Miscellany
- No personal interests or hobbies provided.