Summary
Jianyu Liu is a machine learning-focused research engineer with 8 years of experience applying deep learning and statistical modeling to ads ranking, user modeling, and feature infrastructure at Meta and now building at OpenAI. He holds a Ph.D. in Statistics from UNC Chapel Hill and combines strong algorithmic foundations with practical systems skills in Python, C/C++, SQL, Spark, and R. At Meta he progressed from Research Scientist to Staff Research Scientist working on win-rate prediction, creative ranking and GenAI-powered ranking systems, demonstrating an ability to move models from research to production-scale feature serving. His background spans both applied research and product-minded engineering—optimizing ad bid suggestions at A9 and deploying clinical prediction pipelines with R Shiny during earlier internships. Jianyu is comfortable with PyTorch, XGBoost and large-scale data stacks, and he brings a quantitative rigor uncommon in production ML teams. Based in Beijing with cross-border experience, he blends academic depth and industry impact to tackle hard modeling and infrastructure problems.
8 years of coding experience
8 years of employment as a software developer
Master's degree Statistics, Master's degree Statistics at Shanghai University of Finance and Economics
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at The University of North Carolina at Chapel Hill
English, Chinese