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Last year I began working with Professor Xudong Zheng at Johns Hopkins University to research the adaptation of industrial robots in the Chinese labor market. I constructed a model that simulates the effects of industrial robots as substitutes for human labor in China and also combines empirical analysis with the case studies of other countries adopting industrial robots. I first saw my potential future as a scholar when I shared my study with the broader academic community this year at the International Conference on E-Education, E-Business and E-Technology (ICEBT) conference in Madrid, who also published my paper in their journal. While working with Dr. Zheng, he was always willing to explain a concept over and over again until I understood it. Earlier in my studies I wondered if math was too abstract and lacking in real-world applications, but all of that changed soon after I began working with Professor Zheng on economics, understanding concepts like utility and risk-taking behavior in topology. I once considered the idea of presenting at a conference and publishing a research paper impossible, but now with Professor Zheng’s help, I’ve grown confident of my long-term prospects for deep, lifelong studies in math. It was no surprise then that I leaped at the chance to take advanced math courses at the University of Hartford. I even dove into linear algebra on my own by enrolling in an online course with the encouragement of my university professor as well as Dr. Zheng. I’ve become increasingly fascinated by the intricacy and intercorrelation within math itself. I started to look at books of topology and other abstract mathematic concepts.

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