Summary
Judy Shen is a machine learning researcher-engineer with 11 years of experience blending rigorous academic research and production-focused ML systems, now a Member of Technical Staff at Anthropic after completing a PhD at Stanford. Her work spans differential privacy, secure inference, and data quality for large models, with internships at DeepMind, Apple, and Microsoft that produced papers and NeurIPS/ICML–level contributions. Trained at MIT Media Lab and University of Toronto, she has a strong background in human-centered ML—modeling annotator variation and fairness—and a track record of translating research into deployable features and tooling. Notably, Judy combines embedded-systems roots and product-facing internships with cutting-edge privacy research, making her adept at both low-level systems and high-level ML safety questions.
11 years of coding experience
4 years of employment as a software developer
Master's degree Media Arts and Science, Master's degree Media Arts and Science at Massachusetts Institute of Technology
Bachelor’s Degree of Applied Science in Engineering Science Engineering Science Electrical and Computer Engineering Option, Bachelor’s Degree of Applied Science in Engineering Science Engineering Science Electrical and Computer Engineering Option at University of Toronto
High school, High school at Westmount Secondary School
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
English, Chinese