News

Joined NVIDIA ADLR

Working on Megatron-LM and Nemotron models

Joined Essential AI

Acquired by NVIDIA

Graduated from UC Berkeley

Publications

(2025). Generating Permutations at Scale. Proceedings of the SC ‘25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis.

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(2025). Scaling Graph Neural Networks for Particle Track Reconstruction. 2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

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(2025). Scaling Graph Neural Networks for Sciences. Ph.D. Dissertation, University of California, Berkeley.

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(2023). Distributed Matrix-Based Sampling for Graph Neural Network Training. Proceedings of Machine Learning and Systems, arXiv:2311.02909.

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(2020). Accurately and Efficiently Estimating Dynamic Point-to-Point Shortest Path. IEEE BigGraphs Workshop at International Conference on Big Data (BigData) 2020.

(2020). Reducing Communication in Graph Neural Network Training. ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, arXiv:2005.03300.

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(2018). Scaling Betweenness Centrality in Dynamic Graphs. IEEE High Performance Extreme Computing (HPEC) 2018.

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