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. Before that, I graduated with my B.Sc. in Data Science and Engineering from the Technion and was awarded the Schulich Leaders scholarship.

My research is in the field of Natural Language Processing (NLP) and lies in the intersection of Domain Adaptation, Causal Inference, and Language Generation. Specifically, I develop causal-inspired methods to improve out-of-distribution generalization, interpretability, and reliability of NLP systems. I am also working on developing NLP technology for scientific modelling in 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!