Summary
Weiyi Xia is a Senior DeID Researcher with over a decade of experience applying ML and AI to healthcare and data privacy problems, currently advancing de-identification at Truveta. With a PhD in Computer Science from Vanderbilt and a background spanning postdoctoral research to industry, he combines deep research rigor with production-focused engineering. He is fluent in Python, R, Scala, Spark, and major cloud platforms (GCP, Azure, AWS), and specializes in designing anonymization pipelines and practical privacy-preserving transformations for ML-ready datasets. Known for bridging academic methods and deployable systems, he has a track record of turning complex clinical data governance needs into scalable, auditable solutions. Based in Nashville, he uniquely pairs formal research training with hands-on implementation across databases and distributed compute environments.
11 years of coding experience
BE, Computer, BE, Computer at Beihang University
Master's Degree, Computer Science, Master's Degree, Computer Science at Peking University
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Vanderbilt University
Chinese, English