Avishree Khare

Hi! I am a third-year PhD student in Computer Science at the University of Pennsylvania, where I am fortunate to be advised by Prof. Rajeev Alur, and sponsored by a fellowship from Toyota.
I am broadly interested in research topics at the intersection of Machine Learning and Formal Methods. My current research uses ideas from Formal Logic to improve the reliability and robustness of AI systems. Some problems that I am working on include:
- How can we enhance video understanding through symbolic reasoning?
- How can we ensure that generative models follow rules strictly?
- How can we leverage generative models for complex reasoning (e.g., in software engineering and potentially, mathematics)?
Prior to joining Penn, I was a Research Fellow with the PROSE group at Microsoft . I also spent a year as a Software Engineer at Google. Before that, I graduated with a B.E in Computer Science from BITS Pilani Goa, India.
In my spare time, I enjoy running, (pen) sketching and baking bread!
I am looking for internships in Summer 2026. My CV is here, please reach out!
publications
- (Spotlight) Mechanistic Interpretability Workshop, NeurIPS , 2025
- NextVid Workshop, NeurIPS, 2025
- In The Thirteenth International Conference on Learning Representations (ICLR), 2025
- In Workshop on Scaling Self-Improving Foundation Models without Human Supervision, ICLR, 2025
- In Proceedings of the 2025 IEEE Conference on Software Testing, Validation and Verification (ICST), 2025
- In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE), 2023
*equal contribution