I am an aspiring ML scientist currently on the lookout for PhD positions! I am interested in LLM interpretability and trustworthiness. More broadly, my research interests revolve around mitigating the risks associated with increasingly powerful ML systems.

I recently finished a research master’s at the University of Tübingen. I had the pleasure to work at STAI group, supervised by Seong Joon Oh. I did research on knowledge conflicts in retrieval-augmented language models.

Prior to joining the STAI group, I worked as a student research assistant in the Decision Making group at the University of Tübingen, where I explored the Multi-Armed Bandit problem under distribution shifts and its application to recommender systems. Before that, I receieved my Bachelor degree in Computer Science from Lomonosov Moscow State University in 2020. During and after my studies, I worked for about 2.5 years as a software engineer at Yandex.

I am passionate about using technical expertise to help solve the world’s most pressing problems.

Latest Publications

Studying Large Language Model Behaviors Under Realistic Knowledge Conflicts

Evgenii Kortukov, Alexander Rubinstein, Elisa Nguyen, Seong Joon Oh

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Exploring Practitioner Perspectives On Training Data Attribution Explanations

Elisa Nguyen, Evgenii Kortukov, Jean Song, Seong Joon Oh

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Non-Stationary Linear Bandits With Dimensionality Reduction for Large-Scale Recommender Systems

Saeed Ghoorchian, Evgenii Kortukov, Setareh Maghsudi

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