Experience

ImmuneID

• United States
• Biotechnology Research
• 1 - 100 Employee

• Data Scientist

  • 2022 - Present

  Develop and implement statistics and ML based methods/algorithms, to gain insights into underlying pathology and recommend new drug targets.



Boston University

• United States
• Higher Education
• 700 & Above Employee

• Researcher PHD Student

  • Sep 2015 - Jan 2022

  Rosene Lab



Psychiatry Neuroimaging Lab at Brigham Women's Hospital & Harvard Medical School

• Researcher PHD Student

  • 2015 - 2021

  Boston, USA Evaluated reliability and validity of imaging (MRI) biomarkers as a metric to measure changes in cytoarchitecture using advanced statistical and ML methods, for biomarker discovery. Estimated the trends in biomarkers associated with development and aging using large complex datasets. Identified the biological and non-biological drivers of the biomarkers using computational methods. Successfully validated (published in top journals), the imaging biomarkers that can be used in the future to… Show more Evaluated reliability and validity of imaging (MRI) biomarkers as a metric to measure changes in cytoarchitecture using advanced statistical and ML methods, for biomarker discovery. Estimated the trends in biomarkers associated with development and aging using large complex datasets. Identified the biological and non-biological drivers of the biomarkers using computational methods. Successfully validated (published in top journals), the imaging biomarkers that can be used in the future to understand causal relationship between pathology and different drivers in clinical trials.

• Research Intern

  • Jul 2014 - Dec 2014

  Boston, USA • Modeled and characterized age-related lifespan trajectories of white matter fiber tracts using statistical methods applied to in-vivo diffusion MRI measures.



Auburn University

• United States
• Higher Education
• 700 & Above Employee

• Graduate Research Assistant

  • 2013 - 2015

  Auburn, Alabama Area Developed novel, probabilistic statistical method to aggregate results from multiple studies in order to evaluate biological links between gender and suicide/depression. Identified gender specific brain networks (published in top journals) driving depression and suicide using complex 3D high-volume image data, to facilitate better medicine and therapeutics in the future.



Infosys (Product Research & Development)

• Technology Analyst

  • Jul 2012 - Jul 2013

  Bangalore, India • Developed recommendation system for Image retrieval using Color matching and Texture analysis using OpenCV to find similar apparel based on image input by the user for making online shopping easier. Implemented image retrieval system for clothing based on color matching and texture analysis using local binary patterns processed using Support Vector Machine.