Yuval Kansal

yuvalkansal[AT]princeton[DOT]edu

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I am a second year PhD student in the Department of Electrical and Computer Engineering at Princeton University advised by Prof. Niraj Jha. Before this, I completed my undergraduate degree at The University of New South Wales (UNSW Sydney) in Computer Engineering (Honours) under Prof. Salil Kanhere.

I am broadly interested in improving the reasoning capabilities of LLMs and building bottom-up superintelligence. In my free time, I enjoy traveling, hiking, running and reading. Please feel free to get in touch via email if you want to collaborate or discuss any ideas!

news

01/2026 We have released our paper “Knowledge Graphs are Implicit Reward Models: Path-Derived Signals Enable Compositional Reasoning”a new paradigm to automatically derive reward signals and enabling compositionality!
07/2025 We have released our paper “Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need”a new paradigm to approach superintelligence! 📄
02/2025 Awarded with the The Hisashi and Masae Kobayashi *67 Fellowship Fund for the 2024-25 Academic Year ✨
09/2024 Moved to the US and started my PhD at Princeton University! 🎉
06/2024 Graduated from UNSW Sydney with a Bachelor in Computer Engineering (Honours Class 1) 👨🏽‍🎓