Integrated Data Science Laboratory for Metabolomics and Exposomics


Exposome factors include both chemical and non-chemicals agents. These agents can dys-regulate metabolic systems in our body, leading to short and long-term differences in our health status. Chemicals  ( individual and mixtures ) are a majority of these agents which can originate from three sources  1) endogenous biochemistry 2) exogenous biochemistry and 3) man-made or synthetic.  A change in levels of these chemicals inside the body can alter metabolic pathways in different organ systems. With the advancement in metabolomics assays because of improved robustness,  sensitivity and accuracy of mass spectrometry instruments, it is possible to measure thousands of chemicals in bio-specimens, specifically blood and urine samples from clinical trials and observational studies. The volume, complexity, scale and richness of metabolomics datasets in those studies need an integrated approach of data science tools including databases, software, algorithms and the information technology infrastructures.  

Our group develops and implements these integrated approaches to mine metabolomics, transcriptomics, proteomics and literature data and gain new metabolic insights from it, and ultimately prioritizing chemicals which need to be evaluated for and included in the clinical chemistry panels and/or hazardous substance lists. 

Group leader - Dinesh Barupal, PhD, Associate Professor,

 Icahn School of Medicine at Mount Sinai , New York USA

Address :

Department of Environmental Medicine and Climate Science

Icahn School of Medicine at Mount Sinai

CAM Building, 17 E 102 St Floor 3 West 

New York, NY 10029