Teaching experience in biomolecular simulation and computation, as well as seminars on computational problems in interdisciplinary fields; research focuses on machine learning methods and frameworks for scientific computing and discovery, modeling, algorithms, software, and application simulations of ion transport processes widely present in biological ion channels, nanopores, semiconductor devices, batteries, etc.
Background
Researcher at the Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences. Research interests include computational problems in applied interdisciplinary science, machine learning for scientific computing, simulation of ion transport processes, and quantitative finance.
Miscellany
Welcomes graduate students, postdocs, and visiting scholars to join his team. For postdocs and visiting scholars, areas of particular interest include computational methods, machine learning, computational finance, and simulations of biomolecules, semiconductor devices, or nanopores. Requirements for master's/PhD students include a passion for research, independent thinking, and programming skills.