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8 changes: 1 addition & 7 deletions content/en/about/index.md
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Expand Up @@ -70,18 +70,12 @@ We work together with researcher all over the world to build the most advanced l
<p style="margin-left: 20px;">Dr. Hanqi Guo is an Associate Professor at the Department of Computer Science and Engineering at The Ohio State University, and he also holds a joint appointment at the Mathematics and Computer Science Division at Argonne National Laboratory. His research interests include visualization, analysis, and machine learning for large-scale scientific data. He is an awardee of the Department of Energy (DOE) Early Career Research Program (ECRP) in 2022 and received multiple best paper awards in premiere visualization conferences.</p>
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# Post-Doctoral Researchers
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<a style="font-size: 30px;" href="https://robertu94.github.io" target="_blank">Robert Underwood</a>

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<p style="margin-left: 20px;width:95%;">Robert Underwood is a Post Doctoral Appointee in the Mathematics and Computer Science Division at Argonne National Laboratory focusing on using data compression to accelerate I/O for large-scale scientific applications including AI for Science. His library LibPressio, which allows users to experiment and adopt advanced compressors quickly, has over 200 average unique monthly downloads, is used in over 17 institutions worldwide, and is a contributor to the R&D100 winning SZ family of compressors and other compression libraries. He regularly mentors students and is the early career ambassador for Argonne to the Joint Laboratory for Extreme Scale Computing.</p>
<p style="margin-left: 20px;width:95%;">Robert Underwood is an assistant computer scientist in the Mathematics and Computer Science Division at Argonne National Laboratory focusing on using data compression to accelerate I/O for large-scale scientific applications including AI for Science. His library LibPressio, which allows users to experiment and adopt advanced compressors quickly, has over 200 average unique monthly downloads, is used in over 17 institutions worldwide, and is a contributor to the R&D100 winning SZ family of compressors and other compression libraries. He regularly mentors students and is the early career ambassador for Argonne to the Joint Laboratory for Extreme Scale Computing.</p>
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