Our lab uses computational techniques to study biologically important problems. The research areas in the lab include genomics, protein simulation etc. The study of proteins relies on stochastic and deterministic optimization methods for better sampling the conformational space, and structure prediction. The study of genomics uses high performance computing and machine learning techniques for developing better and faster algorithms.

The lab is located on the 11th floor, Building F, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. In addition to our in house computing facilities such as Dawning5000, DeepComp7000，PowerLeader, we also rely on supercomputers Tianhe-2 at NSCC-Guangzhou, Mira at Argonne National Lab, Dawning 6000 at NSCC-Shenzhen.

Our research is funded by National Key Research and Development Program of China, National Natural Science Foundation of China, National High Technology Research and Development Program of China(863), Guangdong Provincial Department of Science and Technology, Science & Technology Innovation Commission of Shenzhen.

Keywords: Protein, genomics, HPC, optimization, machine learning, supercomputer