Scholar
Zhengwu Zhang
Google Scholar ID: kGX3AysAAAAJ
University of North Carolina at Chapel Hill
Citations & Impact
Citations
1,153
H-index
20
i10-index
35
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- His work is supported by multiple NIH grants and reflects a broader mission to design efficient, interpretable, and practical tools for extracting knowledge from complex data.
Research Experience
- His research develops statistical and machine learning methods for high-dimensional data with low-dimensional structures, with applications spanning finance, artificial intelligence, and neuroscience. Specific projects include financial data analysis (predictive modeling, portfolio optimization, LLM applications), LLM reasoning (robust multi-step, causal, and mathematical reasoning), and human cognition and brain research (geometry-based connectome analysis, brain aging, cognitive training, and substance use).
Education
- Degree: Ph.D. in Statistics; School: Florida State University; Advisor: Professor Anuj Srivastava; Year: 2015; Major: Statistics.
Background
- Research Interests: Artificial Intelligence, Machine Learning, Data Integration, Object-Oriented Data Analysis, Computational Neuroscience, Financial Data Modeling. Short Bio: Zhengwu Zhang is an Associate Professor in Statistics and Operations Research at the University of North Carolina at Chapel Hill and currently serves as an Associate Editor for Reproducibility at the Journal of the American Statistical Association and as an Associate Editor for Biostatistics & Epidemiology.
Miscellany
- He is looking for self-motivated students with strong computing skills to work with him in AI, Machine Learning, Generative Models, and Financial Data Analysis.
