Shiyuan Zhang is a PhD student in Biostatistics at the University of Memphis. Her master's research focused on clustering methods for high-dimensional biomedical data, with applications to single-cell RNA-seq analysis. Her current PhD research focuses on deep neural networks, statistical learning, and computational methods for biomedical data analysis.
Her research interests include clustering, deep learning, high-dimensional data analysis, feature selection, single-cell RNA-seq data analysis, and reproducible computational research.
Email szhang6@memphis.edu
Office Robison Hall, Room 320
Office Hours By appointment only
PhD Student in Biostatistics
University of Memphis
Master's Research
Clustering methods for high-dimensional biomedical data and single-cell RNA-seq analysis
Shiyuan's current PhD research focuses on deep neural network models and statistical learning methods for biomedical data analysis. Her work aims to develop and evaluate computational methods that improve prediction, feature selection, and interpretation in complex biomedical datasets.
Designed by Shiyuan Zhang
