Shreya Rajpal

Shreya Rajpal

she/her

Ph.D. researcher in trustworthy neuro-symbolic reasoning

Shreya Rajpal

I am a Ph.D. student in Computer Science and Engineering at Michigan State University and an AI Science Intern at Intuit. I am advised by Prof. Parisa Kordjamshidi in the Heterogeneous Learning & Reasoning Lab, where I develop trustworthy neuro-symbolic methods for complex spatial reasoning. I am a University Distinguished Fellow and Dr. Frank B. Martin Cum Rec Endowed Fellow. Previously, I worked on efficient video understanding at the University of Tübingen, trustworthy medical-language-model explanations at IIT Madras, financial LLM applications with Georgia Tech's Financial Services Innovation Lab, and knowledge-graph question answering at the University of Hamburg. At Intuit, I work on RAG pipelines and deep-learning product recommendation systems. My work has appeared at ACM FAccT, ACL workshops, and ISWC workshops.
I am open to collaborations. Let's connect on LinkedIn or email me at rajpalsh@msu.edu.

News

  • Jun 2026

    🎉 I joined Intuit as an AI Science Intern, working on RAG pipelines and recommendation systems.

  • Jun 2026

    🗣️ My paper on spatial reasoning via modality switching was presented at the SurgeLLM Workshop at ACL 2026.

  • Jun 2026

    📄 Our work on label-guided efficient procedural-video summarization was accepted to the SELVA Workshop at ACL 2026.

  • May 2025

    📄 LExT, our framework for evaluating trustworthy natural-language explanations, appeared at ACM FAccT 2025.

  • Aug 2025

    🎓 I started my Ph.D. at Michigan State University as a University Distinguished Fellow.

Selected Publications

LExT: Towards Evaluating Trustworthiness of Natural Language Explanations

ACM Conference on Fairness, Accountability, and Transparency (FAccT 2025), 2025

PDF