Dr. Liu's areas of expertise and research interest include next generation sequencing data analyses, e.g., bulk and single cell RNA-seq data analyses (Hepatol Commun. 2022 Aug;6(8):2170-2181.; Biochem Biophys Rep. 2022 Mar;29:101200.), meta-genomics (Brief Bioinform. 2022 May 13;23(3)) and other high-dimensional clinical data analyses (Am J Respir Crit Care Med. 2022 Nov 1;206(9):1174-1177.; Virchows Arch. 2022 Jul;481(1):49-61.).

John Lefante has extensive experience in data analyses and maintenance on research studies in occupational health, health care access and evaluation, and clinical and translational sciences. He is the Tulane Biostatistics & Epidemiology Core facilitator for the LA CaTS Center, an NIH funded IDeA-CTR.

Jeffrey Shaffer, PhD, is a biostatistician and data capture and management specialist. His current work involves capturing, managing, and analyzing clinical and laboratory data for infectious diseases in West Africa (including Lassa fever, Ebola virus disease, and malaria) where he oversees the data management and biostatistics cores for two large federally-funded research projects. He has extensive international research experience and regularly provides training workshops and sets up data capture and management systems across West Africa. His earlier research focused on capturing, managin

Jian Li is a biostatistician and bioinformatician. His research includes both development of analytical methodology and analyses of high-throughput data. His current research topics include using network and integrative methods in characterizing and analyzing NGS DNA, sequence-based RNA/miRNA/protein expression data for finding genetic variants underlying human complex diseases such as cardiovascular diseases, cancer and obesity; combining both genetic and clinical data for predictive model building; and statistical modeling and evaluation of biomarkers in disease prevention and treatment.

Dr. Shankar's research is focused on the application of experimental design, multiple regression analysis, time series analysis, categorical data analysis and multivariate analysis in health and social sciences research. She has developed temporal and spatial interpolation methods to merge two or more secondary datasets that do not have common geographical identifiers.

Sudesh Srivastav has a broad background and experience in biostatistics and quantitative bioinformatics with specific training and expertise in statistical design of experiments and its application in clinical trials, re-sampling methods, and analysis of big data. He is actively involved in collaborative research with a number of faculty members from within the department as well as from other departments of the Health Sciences Center at Tulane University, particularly the Tulane Cancer Center and the Louisiana Cancer Research Consortium (LCRC).