Research

GNS Healthcare, Cambridge, MA, USA

Principal Scientist (October 2018-Present)Senior Research Scientist (July 2017-September 2018)

Advancing precision medicine through healthcare analytics & machine learning
Bayesian predictive & causal modeling of multimodal data: clinical trial, genomic, genetic, molecular etc.
Discovery of novel biomarkers, outcome measures for clinical trials, risk stratification, identification of subpopulations

Staff Bioinformatics Scientist, The Rothberg Institute for Childhood Diseases, Guilford, CT, USA and Visiting Scientist, Yale University Cancer Center, New Haven, CT USA (October 2015 to June 2017)

Led the bioinformatics & statistical analyses of omics data from NGS: whole exome, targeted Seq, RNASeq
Stratified cancers based on mutational landscapes, tumor microenvironment, transcriptome: linking to clinical data
Developed novel quality control (QC) metrics for NGS data
Implemented bioinformatics pipelines/apps and deploying in both local and cloud environments

Research Scientist, Department of Biomedical Engineering & Center for Biological Systems Engineering, Washington University in St. Louis, Saint Louis, MO, USA (January 2015 to September 2015)

Used combination of de novo sequence design and statistical modeling of in vitro and ex vivo data to uncover functional mechanisms underlying roles of protein's structural disorder in signaling and transcriptional networks.

Postdoctoral Research Fellow, Department of Biomedical Engineering & Center for Biological Systems Engineering, Washington University in St. Louis, Saint Louis, MO, USA (October 2009 to December 2014)

Advisor: Professor Rohit V. Pappu

Performed high-throughput molecular simulations, data analysis and leveraged polymer physics theories to unmask sequence-structure relationships of proteins that do not fold
Leveraged discovered rules underlying sequence-disorder relationships for classification of unstructured/disordered proteins
Uncovered the rules that modulate intrinsic helicity of transcription factors and designed novel transcription factors

Graduate Research Assistant, Department of Chemistry, Rice University, Houston, TX, USA (2005-2009)

Advisor: Professor Anatoly B. Kolomeisky

Developed novel stochastic models to investigate microscopic mechanisms of motor protein’s biological transport
Developed a coarse grain model to understand the mechanism of cognate site search by transcription factors

Masters Research Assistant, Department of Chemistry, Indian Institute of Technology, Kanpur, India (2004-2005)

Developed of an optical fiber based novel refractive index sensor

Summer Research Intern, Theory & Computational Division, National Chemical Laboratory, Pune, India (2004)

Applied density descriptor based theories (DFT) for comparative analysis of different hydrogen halides reactivities and stabilities

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