I am a final year PhD student in Computing and Information Science at Rochester Institute of Technology (RIT), working with Prof. Rui Li in the Lab of Use-Inspired Computational Intelligence (LUCI). Before starting my PhD, I completed my undergraduate in Electronics and Communication Engineering at Pulchowk Campus, IOE, Nepal. I am generally interested in machine learning, mathematics, and physics.

Research

My general research interest lies in probabilistic and generative models, broadly spanning the areas of Bayesian methods, and generative models (VAEs, diffusion models, and vision–language models) and graph learning. I have developed Bayesian model selection frameworks for VAEs and Graph Neural Networks, and visual token pruning algorithm for efficient inference in vision–language models. Currently, I focus on diffusion and flow-matching models, with an emphasis on improving generation efficiency through one- or few-step generation (check out our recent ICLR paper here).

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