Sheng Liu
Postdoctoral Fellow at Stanford University
New York, United States
Summary
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Senior🎓
Top SchoolSheng Liu is a Postdoctoral Fellow at Stanford University whose research advances the reliability of machine learning and AI agents for medicine and biology, with expertise in robustness, multimodality, and uncertainty quantification. He earned a PhD in Data Science from NYU after multi-year research roles across the NYU Center for Data Science and Center for Neural Science, where he worked on optimization algorithms and led statistical recitations. Sheng combines deep theoretical training with applied focus—collaborating with labs led by James Zou and Lei Xing—to translate robust ML methods into clinical and biological settings. Outside academia he balances rigorous research with athletic pursuits as a tennis player, certified scuba diver, and surfer, reflecting a pragmatic, performance-driven approach to problem solving.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at New York University
Github Skills (4)
convolutional-neural-networks8
deep-learning5
incremental-learning5
machine-learning5
Programming languages (1)
Github contributions (5)
NYUMedML/CNN_design_for_AD
Oct 2019 - Apr 2020
Code for NeuraIPS2019 ML4H "On the design of convolutional neural networks for automatic detection of Alzheimer's disease"
Contributions:7 commits, 2 PRs, 51 pushes in 5 months
ml4hdeep-learningconvolutionalneural-networksmachine-learning
JeremyHide/1007_project
Nov 2016 - Dec 2016
Contributions:5 PRs, 40 pushes, 1 branch in 1 month
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