Lulu Shang

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About Me:

I am a tenure-track assistant professor in the Department of Biostatistics at MD Anderson Cancer Center. I received my PhD degree in the Department of Biostatistics at the University of Michigan. I have been working with Prof. Xiang Zhou on developing statistical methods for genetic and genomic datasets. My recent focus is on developing methods for analyzing spatial transcriptomics. I also worked closely with Prof. Jennifer Smith in the Department of Epidemiology at the University of Michigan on large-scale quantitative trait mapping in African Americans in the GENOA study. Previously, I obtained my bachelor’s degree in Biology from the Zhiyuan Honored College at Shanghai Jiao Tong University.

Research Interests:

My research interest is in developing effective and efficient statistical and computational methods in single cell and spatial transcriptomics to address critical biological problems such as omics data dimension reduction and integration. My specific focus includes: 1). developing statistical and computational methods for data analysis in single-cell RNA-seq and spatial transcriptomics; 2). Bridging between population-level genome-wide association studies (GWASs) and individual-level single-cell and spatial transcriptomics data to unravel the underlying mechanisms of disease etiology; 3). Integrating multi-omics data with patient outcomes to foster translational research, ultimately connecting molecular insights with clinical applications.


Open Positions:

Applications are invited for postdoctoral fellow positions in my research group. The successful candidates will be working on various research topics in developing statistical methods and computational tools in the field of single cell and spatial transcriptomics. The successful candidates will be offered with competitive benefits and have the opportunity to analyze a variety of large-scale data types. Applicants should have, or be studying for, a PhD in biostatistics, statistics, computer science, bioinformatics, computational biology, mathematics, or related quantitative discipline. A strong computational background is preferred. Applicants should send a CV, a short statement of research interests, and contact information of three referees to: Lulu Shang Review of applications will begin immediately and continue until the position is filled.

We also have open positions for Research Assistant. The Research Assistant positions can be offered to students in MD Anderson, Rice, and UTHealth. Please feel free to reach out if you are interested in joining our lab.

Selected Awards

Published 11 May 2023
Published 16 Feb 2023
Published 23 Nov 2022
Published 19 May 2022
Published 11 May 2022
Published 05 May 2022
Published 03 Aug 2021
Published 08 Jul 2021
Published 22 Jan 2021
Published 25 Aug 2020

Our GENOA meQTL paper is accepted at Nature Communications! Will be online soon.

Posted 17 Apr 2023

Our SRTsim paper is online at Genome Biology! Here is the link: SRTsim paper.

Posted 16 Feb 2023

Our SpatialPCA paper is online at Nature Communications! Here is the link:

Posted 24 Nov 2022
Posted 18 Aug 2023
This blog is about server maintenance
Posted 17 Oct 2022
This blog is about making figures in ggplot
Posted 16 Oct 2022
R packages
This blog is about making R packages
Posted 16 Oct 2021
This blog is still under construction
Posted 01 Nov 2015