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Modeling building is always fascinating. From gigantic stars to subatomic particles, and from sports games to daily grocery, people always try to find their way to describe and predict what they see and what they expect.
With experiences in both academic and industrial environments, my research aims to build models with both traditional statistic tools as well as cutting-edge machine learning algorithms. With a strong curiosity about the patterns and rules not only in nature but also in social science, I am passionate in learning mathematical and technological skills that are capable to extract insights and knowledge from data, and in seeking a career which could both fulfills my desire to know as well as solves problems for other people.
With experiences in both academic and industrial environments, my research aims to build models with both traditional statistic tools as well as cutting-edge machine learning algorithms. With a strong curiosity about the patterns and rules not only in nature but also in social science, I am passionate in learning mathematical and technological skills that are capable to extract insights and knowledge from data, and in seeking a career which could both fulfills my desire to know as well as solves problems for other people.
研究兴趣
论文共 6 篇作者统计合作学者相似作者
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Journal of High Energy Physicsno. 6 (2017): 92
Proceedings of Fourth Annual Large Hadron Collider Physics — PoS(LHCP2016) (2017)
Tessellations Dipsikha Debnath,James S. Gainer,Can Kilic,Doojin Kim,Konstantin T. Matchev,Yuan-Pao Yang
semanticscholar(2016)
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