Abstract
In a recent publication in Patterns, Zhiping Xu, a group leader at Tsinghua University, China, and his team developed a machine learning approach to unveil the conformational complexities of 2D macromolecules by including the insights of physics and topology. Xu talks about the role of data science in his research and the ongoing process of turning into a data scientist.
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