Research Scientist
Bin Song is a member of the ChEESE-2P project team and works on optimizations of workflows in high-performance computing settings. He completed his doctoral degree in chemistry at the University of Mainz in 2022. Afterwards he worked as a postdoctodoral researcher at the Technical University of Darmstadt. He has experience in areas such as molecular dynamics, enhanced sampling methods, coarse-grained model development, and algorithm development.
Scalable Programming Models and Tools
ChEESE-2P
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