Summary
Zhaoce Liu is a data scientist with a Ph.D. in Statistics and nine years of experience applying advanced statistical methods and machine learning (XGBoost, LightGBM, deep learning) to survey research, credit originations, and risk analytics. At GM Financial he translates complex models into business-ready solutions, and previously at Mathematica he designed probability and non-probability sampling and weighting schemes that informed policy research and publications. Proficient in Python, SAS (including Macros, IML, Graph), R, and a broad suite of statistical tools, he has a track record of automating model workflows and reducing operational effort in scoring systems. He pairs strong technical rigor from academic research—such as simulation work on dual-frame estimation—with clear communication to present methods to stakeholders and publish findings. Based in Dallas, Zhaoce brings an unusual blend of survey methodology expertise and production ML experience, with an early interest in speech processing that informs his broader curiosity in applied machine learning.
9 years of coding experience
2 years of employment as a software developer
Master of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at Sam Houston State University
北京大学附属中学
Bachelor's degree, Mathematics, 3.61, Bachelor's degree, Mathematics, 3.61 at Capital Normal University
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Southern Methodist University
English, Chinese