Shrabanti Chowdhury

Shrabanti Chowdhury, PhD

About Me

Currently I am Research Instructor in the Department of Genetics and Genomic Sciences. Broadly my research interest ranges from innovative methodology development in biomedical sciences, to solving challenges in data science and statistical learning in various applied domains. I joined Mount Sinai in 2018 in the lab of Dr. Pei Wang and have been conducting research on integrative proteo-genomic analysis funded by NCI-CPTAC grant. Specifically, my research is focused on developing novel computational/statistical methods for integrating different types of -omics data. I have recently developed a new tool to build high dimensional graphic model based on proteogenomic data to facilitate system-learning and have extended it on spatial transcriptomics (ST) data to infer directed network between ligands and receptors. Prior to joining Sinai, I was a postdoctoral fellow at Wayne State University school of medicine where my research was focused on developing novel methods for non-inferiority clinical trials using Bayesian hierarchical modeling approach. I received my PhD degree in Applied Statistics from University of California, Riverside. Visit my webpage here.


INSTRUCTOR | Genetics and Genomic Sciences
Research Topics

Bioinformatics, Biostatistics, Cancer, Computational Biology, Genomics, Systems Biology

Multi-Disciplinary Training Areas

Cancer Biology [CAB], Genetics and Genomic Sciences [GGS]

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