Mingwei Tang is a Research Data Scientist and Staff Machine Learning Engineer with 10 years of experience, currently working on AI infrastructure for Meta’s Ads Core ML team in Seattle. He designs production-focused methods like adaptive checkpointing to reduce operational overhead in large-scale training and provides transfer-learning-as-a-service to warm up ranking models and save global resources. His background spans applied ML and statistics—from detecting risky code at Microsoft (patented work) to clinical-site fraud detection and visualization at the FDA—grounded in a PhD in Statistics from the University of Washington. Known for bridging rigorous research with pragmatic engineering, he combines deep statistical training with hands-on systems work to improve efficiency of large-scale ML pipelines.
10 years of coding experience
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at University of Washington
Bachelor of Science (BS), Mathematics and Statistics, 4.71/5, Bachelor of Science (BS), Mathematics and Statistics, 4.71/5 at Nanjing University
Contributions:5 pushes, 1 branch in 2 years 5 months
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