Portrait of Andrei Kopanev

Andrei Kopanev

PhD student at the Kahlert School of Computing, University of Utah

I’m a PhD student at the Kahlert School of Computing, University of Utah, advised by Ana Marasović in Utah NLP. Right now I’m working on mechanistic interpretability of language models, specifically chain-of-thought faithfulness: whether the steps a model writes down describe computations it actually performed, and whether they show the full path to its answer.

Before Utah, I did my B.S. in Computer Science and Engineering at The Ohio State University. With Yu Su and Huan Sun, I helped build the Mind2Web 2 benchmark (NeurIPS 2025): I wrote tasks and built the web cache that makes its evaluation reproducible. At the Imageomics Institute, I collected and organized the 220M-image training data for BioCLIP 2. I also led perception for the Buckeye AutoDrive Challenge team.

Buckeye AutoDrive ChallengeAug 2023 – May 2026
Imageomics Institute, OSUOct 2023 – May 2025
NLP Lab, OSUMar 2025 – May 2026
Utah NLP, University of UtahSep 2026 – Present
2023202420252026Now

Selected publications

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge

Boyu Gou, Zanming Huang, Yuting Ning, Yu Gu, Michael Lin, Weijian Qi, Andrei Kopanev, Botao Yu, Bernal Jiménez Gutiérrez, Yiheng Shu, Chan Hee Song, Jiaman Wu, Shijie Chen, Hanane Nour Moussa, Tianshu Zhang, Jian Xie, Yifei Li, Tianci Xue, Zeyi Liao, Kai Zhang, Boyuan Zheng, Zhaowei Cai, Viktor Rozgic, Morteza Ziyadi, Huan Sun, Yu Su

NeurIPS 2025 Datasets and Benchmarks Track, 2025DOI

All publications

Recent work

PhD Student

Sep 2026 – Present

Utah NLP (Ana Marasović), University of Utah

I work on mechanistic interpretability of language models, currently chain-of-thought faithfulness: whether a model's written reasoning steps describe computations it actually performed.

Undergraduate Research Assistant

Mar 2025 – May 2026

NLP Lab (Yu Su and Huan Sun), OSU

I helped build Mind2Web 2 (NeurIPS 2025 Datasets and Benchmarks), a benchmark for long-horizon web agents: I wrote about 15% of its tasks, ran the Deep Research systems for evaluation, and built the cache of visited pages that makes runs reproducible.

Perception Subteam Lead

Aug 2023 – May 2026

Buckeye AutoDrive Challenge

I led perception for Ohio State's team in the SAE AutoDrive Challenge II, where universities turn a Chevrolet Bolt into a Level-4 autonomous vehicle. I rebuilt the ROS 2 perception pipeline, deployed 3D multi-object tracking, and mentored new perception members in the 50+ person team.

Full CV