Ling Zhang is a Senior Machine Learning Engineer in the San Francisco Bay Area with nine years of experience applying statistical rigor to real-world problems across finance, academia, and enterprise. With a Ph.D. in Statistics and deep expertise in survival analysis, feature screening, and experimental design, she bridges advanced statistical theory and production ML at Adobe. Her background in quantitative analytics at Wells Fargo included vendor model validation and fair-lending compliance, showing an ability to deliver robust, audit-ready models under regulatory constraints. She also contributes to systems-level open source work—implementing and optimizing core database operators for CMU’s NoisePage—demonstrating low-level engineering chops beyond typical ML roles. Known for disciplined, steady execution (“inspiration is for amateurs; the rest of us just show up and get to work”), she combines meticulous data science with pragmatic software engineering to move projects from research to production.
9 years of coding experience
1 year of employment as a software developer
BS, Mathematics and Statistics, 3.8+, BS, Mathematics and Statistics, 3.8+ at Beijing Normal University
Doctor of Philosophy (Ph.D.), Statistics, 3.9+, Doctor of Philosophy (Ph.D.), Statistics, 3.9+ at Penn State University
Fujian Normal University Affiliated High School
Master’s Degree, Statistics, 3.9+, Master’s Degree, Statistics, 3.9+ at Auburn University
Self-Driving Database Management System from Carnegie Mellon University
Role in this project:
Back-end Developer & Database Engineer
Contributions:8 reviews, 5 commits, 15 PRs in 1 year 5 months
Contributions summary:Ling primarily focused on implementing and modifying physical operators within the database system. Their work included the development of sequential scans, index scans, and external file scans, as well as the integration of various join operations. They also addressed multiple bug fixes and performed code improvements for existing features such as aggregate functions, distinct operations, and sorting capabilities. Furthermore, the user's contributions extended to optimizing and fixing errors related to the comparison and hashing functions within the core database components.
Contributions:13 PRs, 257 pushes, 38 branches in 1 year 9 months
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Ling Zhang - Senior Machine Learning Engineer at Adobe