Shuyang Deng
Student at Duke University
Town of Vestal, New York, United States
Summary
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Top SchoolShuyang Deng is a PhD student in Economics with eight years of research experience applying causal inference, structural model estimation, and machine learning to high-dimensional empirical problems. He has contributed to peer effects estimation and large-scale real estate analysis using Python, iterative structural methods, and regression techniques at institutions including the University of Rochester and UW–Madison. Currently based at Binghamton University (with recent graduate work at Duke ECE on deep generative models), he bridges econometric rigor and modern ML tools for applications in CV and NLP. Shuyang is comfortable with Python, Stata, Mathematica, and Matlab, and often tackles messy, million-observation datasets to produce reproducible tables and insights. Notably, his background spans both economics theory and practical data engineering, enabling him to translate structural identification strategies into scalable empirical workflows. He is actively pursuing internships where he can deploy causal modeling expertise to real-world decision problems.
7 years of coding experience
Bachelor's degree, Economic, 3.53/4.0, Bachelor's degree, Economic, 3.53/4.0 at 中南财经政法大学Master of Science - MS, Economics, 3.87/4.0, Master of Science - MS, Economics, 3.87/4.0 at 美国威斯康星大学麦迪逊分校Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at Binghamton UniversityMaster of Science, Economic, Master of Science, Economic at University of Rochester
Github Skills (9)
natural-language-processing2
nlg2
large-scale2
natural-language-generation2
scale2
conversation2
dialogue-systems2
paddlepaddle1
multimodal1
Programming languages (1)
Github contributions (5)
sdai654416/Joint-GAN
Jun 2018 - Jun 2018
Contributions:27 commits, 26 pushes, 1 branch in 23 days
sdai654416/LGAN
Jun 2019 - Jun 2019
Contributions:17 commits, 16 pushes, 1 branch in 1 day
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