Alex Sim is a senior computing engineer at Lawrence Berkeley National Laboratory. He has worked on R&D in data analysis and management fields for astronomy, combustion modeling, cosmology, earth system modeling, fusion science, genomics, high energy physics, nuclear science, power grid electricity and behavioral economics. In recent years, he has been working on HPC performance modeling, data analytics and learning models for various applications, and autonomous data infrastructure for distributed science applications. 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 involved in technical program committees, steering and advisory committees for conferences, journal editorial boards, review panels and standard committees, in data, cloud computing, HPC, and networking areas. He has contributed to paper publications and technical reports, open source software packages, and patented technologies. He is a senior member of IEEE.

Area of Interest

• Atomic, Molecular, Nuclear, Particle and Plasma Physics
• Other Physical Sciences
• Distributed Computing
• Artificial Intelligence and Image Processing
• Knowledge Representation and Machine Learning
• Statistics
• Pattern Recognition and Data Mining
• Networking and Communications