Alex Sim is a senior computing engineer in Scientific Data Management group under Computational Research division at Lawrence Berkeley National Laboratory. Over the last twenty years, he has worked on R&D in data analysis and management fields for astronomy, climate change simulation, combustion modeling, energy science, fusion science, genomics, high energy physics, and nuclear science. His recent research area includes high-frequency streaming data analysis methods, I/O optimization solutions for exascale HPC applications, and statistical modeling and machine learning methods for autonomous control for scientific data infrastructure. He has led projects from the U.S. Department of Energy (DOE) and National Science Foundation (NSF) as a lead PI or Co-PI, and he has involved in technical program committees, steering and advisory committees for conferences, journal editorial boards, review panels in cloud computing, HPC, and networking areas. He has contributed to over 150 paper publications and technical reports, standard specifications, a number of open source software packages, and multiple patented and patent pending technologies.
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