Wucherl (William) Yoo
Research Scientist, Nov 2013 - current.
Ph.D. in Computer Science, University of Illinois at Urbana-Champaign, USA, Aug 2012.
B.S. in Computer Science and Engineering, Seoul National University, Republic of Korea, June 2006.
Dr. Yoo is a research scientist of the Scientific Data Management Research Group at Lawrence Berkeley National Laboratory. His research interests are high-performance data systems, machine learning mechanisms for large-scale data analysis, and automated performance optimization. He has researched and developed a methodology to infer and predict available bandwidth at edge-to-edge paths from ESNet 100 Gbps network. He has researched and implemented an automated mechanism that can identify performance outliers and anomalies in scientific clusters. He has researched and implemented online failure prediction of job task failures in scientific clusters. He investigated and adapted machine learning mechanisms to fingerprint and identify the patterns of resource bottleneck in the parallel applications and systems. He evaluated the applicability of identified bottlenecks from the automated system against real-world applications and showed their performance improvement.