Contact Info

Advisors: Kyle Chard, Ian Foster

I am Ph.D. student in Computer Science interested in high-performance computing and machine learning systems. I am a member of Globus Labs where I am co-advised by Ian Foster and Kyle Chard. I previously completed my Bachelors in Computer Science at the University of Texas at Austin. During my undergraduate studies, I did research at the Texas Advanced Computing Center for the Scalable Computation Intelligence group with Zhao Zhang. I have also interned at Apple and Google.

I am interested in building systems which enable large-scale science and machine learning application on high-performance computing systems. My current research approaches these challenges from two aspects: efficient large scale machine learning (ML) training using second-order optimization and data fabrics that support distributed and federated scientific applications.


AI & Machine Learning

Foundations and applications of computer algorithms making data-centric models, predictions, and decisions

Data & Databases

Systems and algorithms for managing and analyzing data at scale

Scientific & High Performance Computing

Scientific discovery at the frontiers of computational performance, intelligence, and scale

News & Events

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CS PhD Student J. Gregory Pauloski Named Recipient of 2023 ACM-IEEE CS George Michael Memorial HPC Fellowship

Oct 27, 2023
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UChicago CS Researchers Share in Special Prize on COVID-19 Research

Dec 01, 2022
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