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Donya Rooein

Postdoctoral Fellow
Bocconi University
donya.rooein (at) unibocconi.it


About Me

I am currently a postdoctoral fellow in the Department of Computer Science at Bocconi University. I am fortunate to work with Prof. Dirk Hovy at Milan Natural Language Processing Group (MilaNLP Lab). I joined MilaNLP LAB for INTERGRATOR project to study demographic factors to language processing systems and their role of them in the future of Conversational AI.

I'm on the academic and industry job market 2025-26. If you think I’d be a good fit to your team, I’d love to hear from you!

My research focuses on the intersection of Natural Language Processing (NLP) and Human-Computer Interaction (HCI), with a special emphasis on educational applications. I am particularly interested in evaluating Large Language Models (LLMs) in educational settings, with a focus on young users. My work includes developing metrics for text difficulty, creating benchmarks for complexity prediction, and examining cultural relevance and biases in AI-generated content for children. I am also interested in NLP for social good, and I work on studies related to biases and social norms in the Farsi language.

I received my Ph.D. in Information Technology Engineering at Politecnico di Milano, where I was fortunate to be advised by Prof. Barbara Pernici and Prof. Paolo Paolini. I was also a research visitor at ETH Zurich at my last year of PhD.

My Ph.D. thesis was “A Scalable, Reconfigurable, and Adaptive Framework for Chatbots in Education”. During My Ph.D., I focused on adaptive conversational agents; in particular, I designed and developed highly configurable chatbots in education to support various actors with different demographics.

Recent News

Selected Projects

📚 Biased Tales

A dataset designed to analyze how biases influence protagonists’ attributes and story elements in LLM-generated stories.
🔗 View Demo

⚖️ LegalBot

A collaborative project between Politecnico di Milano and Tribunale di Milano aimed at improving access to legal information. LegalBot uses a chatbot interface to assist users in understanding common legal concepts.
🔗 View Demo

🧑‍🏫 TalkyTutor

A chatbot designed to support educators and students through adaptive, chatbot-mediated learning. Built using the aCHAT framework, TalkyTutor empowers non-technical users (e.g., teachers) to customize both content and conversation flow.

Selected Publications

Please find all publications on my Google Scholar.



Feel free to use my website's source code.