I am a Ph.D. student at Rensselaer Polytechnic Institute (RPI).
My research applies the fundamentals of Energy-based modeling and Dense Associative Memory (or modern Hopfield networks) for designing of new neural architectures and understanding the interplay between memorization and generalization in deep generative models, e.g., diffusion models.
I am fortunate to work with Dmitry Krotov, a wonderful physicist who happens to be the co-inventor of Dense Associative Memory alongside John J. Hopfield. Our works have been highlighted by IBM Research (see 1 and 2) and in this Quanta Magazine article.
See my working blog to learn more about my work and thoughts.
[Side note] For the summer of 2026, I will be a research intern at AMD.
