Lily Zhang
Research Scientist at Google DeepMind
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolLily Zhang is a research scientist specializing in deep learning, generative models, and out-of-distribution detection, currently working at Google DeepMind after a series of research roles at Google and Meta. With a decade of experience spanning industry and academia, she is completing a PhD in Data Science at NYU and has multiple arXiv publications from internships and student-research positions at Google and Meta. Her background includes applied ML roles in industry—such as principal ML engineering at Indico Data with an associated patent—and early research at Harvard that produced widely used tools for synthetic data generation. Based in Cambridge, MA, Lily combines rigorous theoretical work with production-minded engineering, focusing on model robustness and generalization. An often-overlooked strength is her track record of translating academic research into practical systems and IP, reflecting both scholarly impact and product-driven execution.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Data Science, Doctor of Philosophy - PhD Data Science at New York UniversityBachelor of Arts (B.A.) Statistics Computer Science, Bachelor of Arts (B.A.) Statistics Computer Science at Harvard University
Chinese, English
Github Skills (27)
scikit10
machine-learning10
korean-nlp10
natural-language-processing10
scikit-learn10
nlp10
benchmark9
benchmarking9
bert9
transfer-learning9
r-package7
pytorch7
deep-learning7
ipa4
dummy-data4
Programming languages (2)
Github contributions (5)
tufts-ml/any_parameter_encoder
Jan 2019 - Jul 2020
Contributions:449 commits, 153 pushes, 6 branches in 1 year 6 months
lhz1029/lhz1029.github.io
Nov 2019 - Apr 2025
Contributions:31 pushes, 1 branch in 5 years 5 months
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