Lulu Shang
Assistant Professor
The University of Texas MD Anderson Cancer Center
Department of Biostatistics
My lab focuses on developing effective and scalable statistical and computational methods to address critical and interesting biological challenges in genetic and genomics studies. Recently, I've developed efficient and powerful methods for single cell and spatial transcriptomics, including spatially aware dimension reduction, identification of cell type-specific genes with spatial patterns, and pinpointing disease-relevant tissues and cells. These methods, inspired by recent groundbreaking technologies, are tailored to analyze and interpret data from advanced platforms like single cell RNA-seq and spatial transcriptomics. By developing innovative analytic methods to extract important information from these datasets, I hope to advance our understanding of biological mechanisms and disease etiology.
Students in my lab will develop skills in statistical and deep learning method development, manage large-scale and high dimensional data, master data visualization, implement software, and gain biological insights through applying these methods to analyze real datasets. They will also receive comprehensive, hands-on training in statistical genetics and genomics research.
Education & Training
PhD, University of Michigan, 2023