Stemina Biomarker Discovery, Inc.
Preeti Bais holds a BS in computer Science from National Institute of Technology (Bhopal, India), MS in Bioinformatics from Brandeis University (Waltham, MA) and a PhD in Bioinformatics and Computational Biology with a minor in Statistics from Iowa State University (Ames, Iowa). For her PhD work, she combined data from 11 different GCMS and LCMS based platforms on 70 single gene knock out mutants of Arabidopsis to create the plantmetabolomics.org database and metabolomics data analysis pipeline. As a principal scientist at Stemina Biomarker Discovery (Madison, WI), she used metabolomics and stem cell technology for drug toxicity screening studies, NCI funded metabolomics analysis of mouse in-vivo assays to understand drug efficacy in human GBM (Glioblastoma multiforme), and metabolomics analysis of patient blood samples to detect autism. She has recently joined the computational sciences and statistical analysis group at the Jackson lab’s new research institute - JAX Genomics Medicine (JGM) at University of Connecticut (Farmington, CT). This independent, nonprofit organization focuses on mammalian genetics research to advance human health and has been working in various disease areas like cancer, neurodegenerative disorders to name a few.
Developing metabolomics as a systems biology tool, statistical analysis, pattern recognition, metabolic network analysis, plant metabolomics, data analysis pipeline development, metabolomics standards