Preetam Dammu
PhD Candidate, University of Washington, Seattle.
Hello! I’m a PhD Candidate at the University of Washington, Seattle, advised by Prof. Chirag Shah.
My research focuses on generative models for multimodal information access, spanning IR, NLP, and CV. I study how modern AI systems retrieve, reason over, and generate content, and how these capabilities can be evaluated and deployed reliably in real-world settings.
More broadly, I am interested in building robust and responsible AI systems, with an emphasis on evaluation, explainability, and practical scalability across applications.
News
| Jan 15, 2026 | New tutorial – Information Seeking in the Age of Agentic AI accepted at CHIIR 2026! Looking forward to presenting it in March 2026. |
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| Jul 15, 2025 | New paper on Dynamic-KGQA — a scalable framework for generating adaptive question answering datasets — accepted at SIGIR 2025! |
| Jun 1, 2025 | Started internship at AWS AI as Applied Scientist II Intern, working on dynamic evaluations of agentic systems. |
| Mar 1, 2025 | New paper on a shopping agent for addressing subjective product needs accepted at WSDM 2025! |
| May 8, 2024 | New paper on covert harms in LLM-generated conversations accepted at EMNLP 2024! |