Nitay Calderon

I am a Ph.D. candidate at the faculty of Data and Decisions Science of the Technion – Israel Institute of Technology. My advisor is Professor Roi Reichart, and I am honored to be a Clore fellow. I am currently finalizing my Ph.D. while working as a Research Scientist at Google Research in Tel Aviv, where I focus on making large language models (LLMs) more reliable, accurate, and helpful for information-seeking tasks.
Previously, I received my B.Sc. in Data Science and Engineering from the Technion, supported by the Schulich Leaders Scholarship.

My research lies at the intersection of Natural Language Processing (NLP), Causal Inference, Concept-based Explainability and Domain Adaptation. I develop causal-inspired methods to improve out-of-distribution generalization, interpretability, and reliability of language models. I am also interested in using NLP to advance scientific modeling in the brain, cognitive, and mental health sciences. Check my blog post on this topic.

📣🤩 I am excited to share that my paper “On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs” received the SAC Award (best paper) for Interpretability and Analysis of Models for NLP at NAACL2025.

I’m happy to talk about my research. If you have any questions, feel free to reach out!