Shao-Yu is a Pre-Doctoral Fellow in the Department of Economics at Harvard University supporting  Professor Melissa Dell with research related to political economy and economic development in historical Japan for two lines of research. He is  jointly developing new deep learning methods, from multi-modal record linkage to graph neural networks, to unlock the potential of large-scale Japanese historical archival data, which can be used to answer big questions about the East Asian miracle. He is also assisting Professor Dell's research team in cultivating several novel NLP methods, for example, measuring language change of a large text corpus, like historical American newspapers or scientific journals in the past century, to examine several. He recived his M.A. in economics, and his B.A. in foreign languages and literatures from National Taiwan University