Scholar
Shahriar Golchin
Google Scholar ID: iBl-Yc8AAAAJ
University of Arizona
Citations & Impact
Citations
380
H-index
9
i10-index
9
Publications
14
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- His PhD dissertation was the first to identify the issue of data contamination (data leakage) in LLMs, developing several methods to detect and estimate contamination in fully black-box LLMs. His research received media coverage and won several awards, including the Outstanding Graduate Scholarship and the Galileo Circle Scholarship. Published multiple academic papers, including a spotlight paper at ICLR 2024.
Research Experience
- Interned at Google Cloud AI Research, Walmart Global Tech, and Harvard Medical School.
Education
- Earned a PhD in Computer Science from the University of Arizona, advised by Prof. Mihai Surdeanu.
Background
- An AI researcher with interests in Machine Learning, Large Language Models (LLMs), and Natural Language Processing. Particularly interested in stress-testing the “alignment” of LLMs.
Miscellany
- Served as a reviewer for top conferences such as AAAI 2026, NeurIPS {2025, 2024}, COLM 2025, ICLR 2025, ACL {2024, 2023}.
