Scholar
Faming Liang
Google Scholar ID: TboqoPIAAAAJ
Distinguished Professor of Statistics, Purdue University
Machine Learning
Monte Carlo
big data
Bioinformatics
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Citations & Impact
All-time
Citations
2,930
H-index
29
i10-index
71
Publications
20
Co-authors
0
Contact
Email
sciencehelp@purdue.edu
Publications
5 items
Stochastic Neural Networks for Causal Inference with Missing Confounders
2026
Cited
0
Deep Survival Analysis for Competing Risk Modeling with Functional Covariates and Missing Data Imputation
2025
Cited
0
Uncertainty Quantification for Large-Scale Deep Networks via Post-StoNet Modeling
2025
Cited
0
Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
2025
Cited
0
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks
2025
Cited
0
Resume (English only)
Academic Achievements
Published several papers in top-tier journals; received the International Statistical Institute Young Scientist Award.
Research Experience
Former Assistant Researcher at the Department of Statistics, Purdue University, involved in multiple interdisciplinary research projects.
Education
PhD in Statistics, Purdue University, Advisor: Prof. Li Si, 2018-2022; MSc in Applied Mathematics, Peking University, 2014-2016.
Background
Research interests include machine learning and data science; specialized in statistics.
Miscellany
Enjoys traveling and reading science fiction.
Co-authors
0 total
Co-authors: 0 (list not available)
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