Preeti Bais, Ph.D.

Computational Scientist

My research focus is in application of statistical methodologies and machine learning to the area of systems biology, specifically metabolomics for hypothesis generation and validation.

I hold a PhD in bioinformatics and Computational Biology with a minor in Statistics. For my dissertation work, I established the essential bioinformatics infrastructure in functional genomics studies using metabolomics as a systems biology tool. I have utilized Mass spectrometry for developing Human Embryonic (hES) and Induced Pluripotent Stem (IPS) cells based assays for drug toxicity screening, for developing a test for biomarkers of autism using patient’s blood and for detecting bio-markers for Escherichia coli O157 infection in cattle from blood samples. I am currently developing a computational metabolomics platform to analyze and visualize mass spectrometry based metabolomics data in JAX. In addition to metabolomics, I am gaining experience in next generation sequencing technologies and cloud computing by developing a tumor neoepitope prediction pipeline for personalized medicine.

Education and experience

Iowa State University, Ames, IA
PhD,Bioinformatics and Computational Biology with minor in Statistics
2005-2011

Brandeis University, Waltham, MA
MS, Bioinformatics
2003-2007

National Institute of Technology, Bhopal,India
BS, Computer Technology
1990-1994