I’m a Senior Research Scientist at NVIDIA, where I work on Megatron-LM and the Nemotron models. My research interests are in HPC for LLMs, primarily sparse kernels for novel model architectures and large-scale distributed training.
Previously, I worked at Essential AI with Ashish Vaswani, where I worked on infrastructure for our rnj-1 and rnj-1.5 models. Before that, I graduated with a CS Ph.D. from UC Berkeley and Lawrence Berkeley National Lab. My dissertation focused on scaling large GNN models and applying them to sciences, particularly high-energy physics. I was very thankful to be advised by Aydın Buluç and Kathy Yelick during this time. In the past, I worked on accelerating graph analytics on GPUs with Oded Green and David Bader at Georgia Tech. My work has been supported by the NSF Fellowship.
Ph.D. in Computer Science, 2025
UC Berkeley
B.S. in Computer Science, 2019
Georgia Tech