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

Brandeis University, Waltham, MA
MS, Bioinformatics

National Institute of Technology, Bhopal,India
BS, Computer Technology