Shine Yang
Research Analyst at Yale Economic Growth Center
Evanston, Illinois, United States
Summary
👤
Senior🎓
Top SchoolShine Yang is a research analyst and economist with nine years of interdisciplinary experience at the nexus of political economy, development research, and emerging blockchain technologies. Currently based in Evanston and pursuing advanced work at Yale, Shine contributes to field surveys and RCTs—most recently on the Philippines Socioeconomic Panel Survey and an urban waste-management trial in Lahore—while also engaging in policy and industrial organisation analyses for top UK and US research centres. A First Class PPE graduate from LSE with a master’s from Yale, Shine pairs rigorous empirical skills (EDA, regression, survey work) with hands-on software competence, including robustness fixes to the high-profile Apache TVM deep learning compiler. Past roles span strategy consulting on CCUS markets, think-tank ethics research, and startup web3 operations, reflecting an ability to move between technical, policy, and product contexts. Colleagues note Shine’s knack for turning complex datasets into actionable insights and for bridging academic research with practicable institutional solutions.
9 years of coding experience
1 year of employment as a software developer
Master's degree, International and Development Economics, Master's degree, International and Development Economics at Yale UniversityLondon School of Economics and Political Science
Spanish
Github Skills (15)
compiler10
machine-learning10
debug10
compiler-compiler10
tensor10
c-language10
deep-learning10
deeplearning-ai10
cprogramming-language10
testing9
python9
gpu9
algorithms8
data-structures8
data-structure8
Programming languages (10)
Github contributions (5)
apache/tvm
Jul 2021 - Nov 2021
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Role in this project:
Software Engineer (Focus on Compiler and Deep Learning)
Software Engineer (Focus on Compiler and Deep Learning)Contributions:3 reviews, 12 commits, 12 PRs in 4 months
Contributions summary:Shine primarily contributed to bug fixes and improvements within the TVM compiler stack. They addressed issues related to memory verification, type errors, and division by zero errors in the code. The user also made changes to include files, added tests for various components, and fixed a null pointer dereference in a core function. These changes improved the robustness and stability of the compiler.
metalvulkancompilertensoropencl
syang-ng/cybercrime-papers
Mar 2021 - Jan 2023
Recent academic papers related to cybercrime
Contributions:27 commits, 6 PRs, 25 pushes in 1 year 10 months
cybercrimeacademic-papers
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