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Neuroimaging Researcher

Education

  • M.Sc., Biomedical Engineering & Medical Physics | Technical University of Munich (Apr 2024)
  • B.Tech., Biomedical Engineering | Maulana Abul Kalam Azad University of Technology (Jul 2017)

Technical Skills

  • Python, SQL, MATLAB, FSL, FreeSurfer, Windows, Linux, Darwin, MS Office

Work experience

Study Coordinator at Albert Einstein College of Medicine (Jul 2024 - Present)

  • Develop research study, protocol, and maintain regulatory compliance and documentation
  • Perform medical data curation of MRI data from MR system to cluster
  • Build pipeline to perform batch processing of patient data that includes pre-processing like distortion correction, image registration of anatomical and functional MRI
  • Train and supervise high-school students for summer projects

Visiting Scholar at Johns Hopkins University School of Medicine (Jan - May 2024)

  • Analyze and optimise the low-resolution MR images from very low-field scanner, volumetric and textural analysis on substance-use-disorder patients, building classifier models to predict treatment responders

Associate Researcher at Icahn School of Medicine at Mount Sinai (Apr - Dec 2023)

  • Use segmentation algorithms (FSL, FreeSurfer, ANTS) to perform segmentation of the brain volumes
  • Perform data collection and quality control of study data, localisation of the subcortical brain regions from MR scan images, and further compute MR spectroscopy and data analysis for opioid-use-disorder patients

Internships

MRI4ALL Hackathon, New York University (Oct 2023)

  • Participated in a 4-day hackathon to build a completely open-source very low-field MR scanner, Zeugmatron Z1 from scratch. The scanner has 1000 permanent magnets, active and passive shimming with in-built liquid-cooling technology

Innovation Think Tank, Siemens Healthineers (Jan 2022)

  • Participated in a 9-day co-creation and innovation program with a global team to propose a solution after considering the key opinion leaders' voices on the trending challenges to shape the future of healthcare of the UAE

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