Scholar
Jeremiah Zhe Liu
Google Scholar ID: 9jrmcG4AAAAJ
Google Research and Harvard University
Machine Learning
Bayesian Statistics
Uncertainty Quantification
Natural Language Processing
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Citations & Impact
All-time
Citations
14,148
H-index
25
i10-index
30
Publications
20
Co-authors
14
list available
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Publications
20 items
Browse publications on Google Scholar (top-right) ↗
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Background
Machine Learning Researcher
Practicing Probabilist
Open Source Monkey
Research focuses on theoretical foundations for uncertainty quantification in machine learning
Develops scalable algorithms for large-scale inference
At Google AI, applies methods to improve AI agents’ conversational abilities and decision-making under uncertainty
At Harvard Biostatistics, applies methods to environmental/climate modeling and health effect estimation in large-scale epidemiological studies
Co-authors
14 total
Balaji Lakshminarayanan
Senior Staff Research Scientist at Google DeepMind
Bo Zhu
Meta, MIT, Harvard, BlinkAI
Matthew S Rosen
Mass General/Martinos Center for Biomedical Imaging
Dustin Tran
Research Scientist, Google
Zi Lin
UC San Diego
Jie Ren
Research Scientist at Google Brain
Brent Coull
Professor of Biostatistics, Harvard University
Shreyas Padhy
University of Cambridge
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