Summary
Erhu He is a Machine Learning Engineer with a PhD in Computer Science from the University of Pittsburgh and about eight years of experience applying data mining and ML to real-world problems. His research bridges spatio-temporal-aware methods—addressing spatial heterogeneity, fairness-aware AI, and graph representation learning—and practical LLM solutions, including retrieval-augmented generation work at AWS AI. Published in top venues like AAAI, IJCAI, and TKDE, he has translated academic advances into industry impact through internships at NEC Labs (carbon-neutral supply chain simulation) and a current role at Samsung Ads in Mountain View. Known for tackling domain-specific model customization, he combines rigorous research thinking with pragmatic engineering to ship production-ready ML systems. An often-overlooked trait is his readiness to jump into hard problems—"you just do it"—which drives rapid iteration from prototype to deployment.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, 3.640, Master's degree, Computer Science, 3.640 at University of Colorado Boulder
Doctor of Philosophy - PhD, Computer Science, 3.779, Doctor of Philosophy - PhD, Computer Science, 3.779 at University of Pittsburgh
Bachelor's degree, Computer Science, 90/100, Bachelor's degree, Computer Science, 90/100 at Northeast Forestry University
Chinese, English