Summary
Zeran Lu is a data-focused software engineer with a decade of experience applying machine learning, causal inference, and data engineering across industry and research, from ByteDance and DiDi to healthcare NLP at Renmin University. Currently pursuing an M.S. in Data Science at Harvard and cross-registering in CS at MIT, he combines strong Python, SQL and C/C++ skills with production tooling (Spark/Scala, Docker) to turn experiments into operational playbooks. His work spans uplift modeling and live-commerce analysis to clickstream clustering and nested NER on Chinese EMRs, consistently partnering with product and clinical stakeholders to drive actionable decisions. Notably, he bridges research rigor and product impact—publishing peer-reviewed work while shipping scalable personalization and pricing insights in fast-moving environments.
9 years of coding experience
2 years of employment as a software developer
cross-registration Computer Science, cross-registration Computer Science at Massachusetts Institute of Technology
Master of Science - MS Data Science, Master of Science - MS Data Science at Harvard University
The University of Hong Kong (HKU)
Bachelor of Science - BS Statistics, Bachelor of Science - BS Statistics at Renmin University of China
English, Chinese