Zhengchun Liu (刘正春)

Assistant Computer Scientist at Argonne National Laboratory

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Short Bio.

Zhengchun Liu is an Assistant Computer Scientist at the Data Science and Learning division of Argonne National Laboratory, and a Scientist At-Large of the Consortium for Advanced Science and Engineering at The University of Chicago. Before this, he was a research scientist at the University of Chicago from 2018.03 to 2019.08, and a Postdoc at the Mathematics and Computer Science division of Argonne National Laboratory from 2016.09 to 2018.03. He focuses his research at the intersection of machine learning and computer system.

For more details and contact info, please see his resume, cv.pdf or cv.html.

Research Highlights

Zhengchun Liu works on applying advanced data science and machine learning techniques to transform understanding of the behavior of computer systems in extreme-scale science environments. Specifically, it includes explaining why performance does not meet design goals, predicting the behavior of computer systems and optimizing it for application in production. He also focuses his effort on applying advanced data science and machine learning techniques for solving and/or accelerating domain scientific applications such as hard X-ray imaging, climate and energy system. He also works on building frameworks to facilitate the AI model training and inference process in the context of AI for Science.


Research Interests:

  • Wide-area data transfer, performance modeling and optimization;
  • Data Science and Machine Learning for scientific applications;
  • High Performance Computing and Artificial Intelligence;
  • Edge Computing and AI at Edge.

Professional Memberships and Activities:


Honors, Awards:


NEWS: We are looking for intern students, contact me if you have experience or are interested in any one of: Machine Learning, performance modeling, simulation, high performance computing, distributed systems, workflow over distributed infrastructure or smart computing/storage/network. Visiting scholar/student is welcomed as well.

                           
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