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Alex Sim,SDM, CRD, Lawrence Berkeley National Laboratory
 
ASim@lbl.gov   510-495-2290   http://www.lbl.gov/~asim   


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 five years, he has worked on R&D in data analysis and management fields for scientific and industrial disciplines such as climate change simulation, combustion modeling, fusion science, high energy physics, nuclear science, astronomy, genomics, power grid electricity and behavioral economics. His recent research area includes high-frequency streaming data analysis methods, dynamic resource management, I/O optimization issues for exascale HPC applications, and statistical modeling and machine learning methods for autonomic scientific data infrastructure. He has contributed to 150+ paper publications and technical reports, standard specifications, a number of open source software packages, and multiple patented and patent pending technologies. He has extensive grant proposal writing experience and led projects from the U.S. Department of Energy (DOE) and National Science Foundation (NSF) as a lead Principal Investigator (PI) or Co-PI, He also has involved in technical program committees, steering and advisory committees for conferences, journal editorial boards, review panels in data, cloud computing, HPC, and networking areas. He is a senior member of IEEE.
Selected projects
Data Analysis and Machine Learning Efforts at SDM Group
Publications from student projects

Selected publications
Other documents



           


        

        

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http://www.lbl.gov/~asim