Scholar
Zhongyuan Liang
Google Scholar ID: UaK1OA4AAAAJ
University of California, Berkeley
Citations & Impact
Citations
24
H-index
2
i10-index
1
Publications
5
Co-authors
7
list available
Publications
Resume (English only)
Research Experience
- Currently a PhD candidate at UC Berkeley, focusing on multi-modal learning and treatment effect estimation.
Education
- PhD: Department of Computational Precision Health at UC Berkeley, advised by Prof. Ahmed Alaa and Prof. Irene Chen; Bachelor's degrees: Computer Science and Statistics from the University of Toronto, worked with Prof. Rahul G. Krishnan on research tackling distribution shift.
Background
- Research interests: multi-modal learning and treatment effect estimation, with an emphasis on robust estimation and reliable performance in high-stakes domains such as healthcare. Professional field: Computational Precision Health.
