Yawei Hui

Manager (DevOps)
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yawei.huiobfuscate#stjude.org

Overview

Being an astrophysicist by training, Dr. Yawei Hui spent much of his early career in exploring the universe for special celestial objects that emit strong X-rays. With experiences accumulated in computing and analytical modeling, he took a significant turn to focus on designing and implementing HPC/Supercomputing workflow and data management system and algorithms development. Now he is taking on new challenges to apply all his data science expertise to understand biomedical data and develop efficient and powerful systems to accelerate scientific discoveries in childhood diseases.

Education

  • PhD, Astrophisics, The Johns Hopkins University, Baltimore, MD (2008)
  • MS, Computer Science, University of Tennessee, Knoxville, TN (2015)
  • BS, Theoretical Physics, Nanjing University, Nanjing, China (1997)

Professional Experience

Time Position PI/Supervisor Institution
2020-2021 Manager - DevOps Gang Wu St. Jude Children’s Research Hospital
2019-2020 Bioinformatics Analyst III Gang Wu St. Jude Children’s Research Hospital
2016-2019 Postmaster Res. Associate Eric Lingerfelt The Oak Ridge National Laboratory
2012-2012 Res. Asst. Prof.   University of Tennessee, Knoxville
2008-2012 Postdoc. Res. Associate David Schultz The Oak Ridge National Laboratory
2000-2008 Grad. Res. Assistant Julian Krolik The Johns Hopkins University
1997-2000 Grad. Res. Assistant Jinming Dong Nanjing University

2019:2

  1. Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science
    Hui Yawei, Liu Yaohua
    In The Computer Vision Conference (CVC) 2019 2019
  2. Single Crystal Neutron Diffuse Scattering on Nonstoichiometric Quasi-2D Ferromagnetic Fe3-xGeTe2
    Liu Y., Calder S., May A., Hui Y.
    In 2019 APS March Meeting 2019

2018:5

  1. A Big Data Analytics Framework for HPC Log Data: Three Case Studies Using the Titan Supercomputer Log
    Park B.-H., Hui Y., Boehm S., Ashraf R., Layton C., Engelmann C.
    In 2018 IEEE International Conference on Cluster Computing (CLUSTER) 2018
  2. A Comprehensive Informative Metric for Summarizing HPC System Status
    Hui Yawei, Park Byung-Hoon, Engelmann Christian
    In IEEE 8th Symposium on Large Data Analysis and Visualization (LDAV), Berlin, Germany, 2018 2018
  3. A Comprehensive Informative Metric for Analyzing HPC System Status using the LogSCAN Platform
    Hui Yawei, Park Byung-Hoon, Engelmann Christian
    In 2018 IEEE/ACM 8th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS) 2018
  4. Real-Time Assessment of Supercomputer Status by a Comprehensive Informative Metric through Streaming Processing
    Hui Y., Ashraf R. A., Park B.-H, Engelmann C.
    In 2018 IEEE International Conference on Big Data 2018
  5. Discovering Features in Sr14Cu24O41 Neutron Single Crystal Diffraction Data by Cluster Analysis
    Hui Y., Liu Y., Park B.-H.
    In 2018 Smoky Mountains Computational Sciences & Engineering Conference 2018

2017:6

  1. Bellerophon Environment for Analysis of Materials (BEAM)
    Lingerfelt Eric J, Endeve Eirik, Hui Yawei, Smith Christopher R
    2017
  2. Distributed workflows for modeling experimental data
    Lynch Vickie E, Calvo Jose Borreguero, Deelman Ewa, Silva Rafael Ferreira, Goswami Monojoy, Hui Yawei, Lingerfelt Eric, Vetter Jeffrey S
    In 2017 IEEE High Performance Extreme Computing Conference (HPEC) 2017
  3. Computer Vision-aided Atom Tracking in STEM Imaging
    Hui Y., Liu Y.
    In 2017 Smoky Mountains Computational Sciences & Engineering Conference 2017
  4. Automated Discovery of Temperature Dependent Structural Change
    Liu Y., Hui Y.
    In 2017 Smoky Mountains Computational Sciences & Engineering Conference 2017
  5. BEAM: An HPC Pipeline for Nanoscale Materials Analysis and Neutron Data Modeling
    Lingerfelt E. J., Endeve E., Hui Y., Smith C. R., Somnath S., Grodowitz N., Borreguero J. M., Bao F., Niedziela J., Bansal D., others
    In 2017 APS March Meeting - Bulletin of the American Physical Society 2017
  6. Volumetric Diffuse Scattering Data Exploration with Machine Learning-Aided Visualization
    Liu Y.-H., Hui Y.-W., Lingerfelt E. J.
    In 2017 Joint Nanoscience and Neutron Scattering User Meeting 2017

2016:1

  1. BEAM: A Cloud-based High Performance Compute and Data Infrastructure for Near Real-time Analysis of Nanophase Materials Imaging Data
    Lingerfelt E. J., Belianinov A., Endeve E., Ovchinnikov O., Somnath S., Smith C. R., Hui Y., Archibald R. K., Symons C. T., Kalinin S. V., others
    2016