Summary
Lucien Tian is a Senior Data Scientist focused on monetization and causal inference for TikTok Ads, combining 11 years of experience across industry and academia. Trained in economics and computational social science at Central University of Finance and Economics and the University of Chicago, he blends rigorous causal methods with large-scale computing—MPI, Spark, Dask and cloud HPC—to drive ad product insights and measurement. His background includes hands-on roles at ByteDance/TikTok, internships at DiDi and Tencent Music, and work teaching large-scale computing, reflecting a rare mix of production ML, experimentation design, and systems-level data engineering. Lucien’s experience in both policy-oriented research and ad monetization gives him a practical knack for translating complex economic questions into scalable measurement pipelines. Based in Haidian, Beijing, he’s equally comfortable optimizing models for real-time ad platforms and mentoring teams on high-frequency data ingestion techniques.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Economics, Bachelor's degree, Economics at Central University of Finance and Economics
Master of Arts - MA, Computational Social Science (Economics), Master of Arts - MA, Computational Social Science (Economics) at University of Chicago
English, Chinese