Edward Wang
Research Assistant at Johns Hopkins Whiting School of Engineering
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolEdward Wang is a PhD candidate and research-focused software engineer with nine years of experience blending applied mathematics, statistics, and full‑stack development. At Johns Hopkins he models social dynamics of interacting LLMs using Gaussian mixture models and studies how embedding functions affect statistical guarantees, while also teaching numerical linear algebra, statistics, Bayesian methods, and ML. His internships at UMD and MathWorks produced practical tooling—LangChain pipelines that generated 79,000 structured knowledge triples and a C++ rewrite to speed multithreaded builds—demonstrating a knack for turning research questions into production-ready systems. Comfortable across infrastructure, ML, and web stacks, he brings rigorous academic training (BS/MS, JHU) and a penchant for measurable, data-driven solutions to complex socio-technical problems.
9 years of coding experience
2 years of employment as a software developer
Johns Hopkins UniversityHigh School Diploma, 4.71, High School Diploma, 4.71 at Livingston High SchoolMaster of Science - MS, Applied Mathematics and Statistics, Master of Science - MS, Applied Mathematics and Statistics at Johns Hopkins Whiting School of Engineering
English, Spanish, ChineseProgramming languages (2)
Github contributions (5)
edwardwang618/Luogu-ACWing-CodeForces
Feb 2021 - Jan 2025
Contributions:633 pushes, 1 branch in 3 years 11 months
edwardwang618/Algorithm-Templates
Apr 2021 - Nov 2021
Contributions:38 commits, 33 pushes, 1 branch in 6 months
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