Parth Padalkar

I’m a Ph.D. candidate in Computer Science at The University of Texas at Dallas and a Templeton Graduate Fellow. My Ph.D. advisor is Dr. Gopal Gupta and My research explores how to bridge neural and symbolic AI, inspired by System 1 and System 2 thinking i.e., the fast, intuitive reasoning of neural networks and the slow, deliberate logic of symbolic systems. I love digging deep into neural architectures to design models that are intrinsically explainable and capable of reasoning by design.

I created NeSyFOLD and NeSyViT, frameworks that extract human-readable rules from deep models thus making image classification models transparent without sacrificing accuracy. My work has been published at AAAI and ICLP (TPLP Journal), earning an oral presentation at AAAI 2024 and a Best Student Paper nomination at ICLP 2024.

When I’m not thinking about AI, you’ll probably find me on a tennis court or at a piano, enjoying the rhythm of both sport and sound.