Rohan Banerjee

Research Engineer at Fatima Fellowship

Montreal, Quebec, Canada
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Summary

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Senior
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Rohan Banerjee is a research engineer specializing in AI for health, currently developing foundation models and clinical applications at the Montreal Heart Institute with ties to Mila. Over eight years he has blended academic rigor (MSc thesis at Mila, 4.0/4.0) with industry impact, from medical imaging and assistive reproductive tech research to data science roles at Dell. His work spans deep learning for cardiology and genomics, bringing experience building image enhancement and generative-model solutions into clinical research settings. He coordinates and mentors through the Fatima Fellowship, coupling remote research collaborations with program leadership. Notably, Rohan bridges foundational model development and practical deployment in medical workflows—a combination that accelerates translational AI in cardiology. Based in Montreal, he pairs strong publication-grade research skills with hands-on engineering to move models toward real healthcare impact.
code8 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS (thesis), Computer Science, 4.0/4.0, Master of Science - MS (thesis), Computer Science, 4.0/4.0 at Mila - Quebec Artificial Intelligence Institute
bookBachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at SRM University (Sri Ramaswamy Memorial University)
languagesEnglish, Hindi, Bengali, Marathi, German
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Github Skills (92)

python10
windows10
command-line-interface10
bids10
code-analysis10
deep-learning10
digital-pathology10
linter10
linting10
linux10
darkflow10
cli10
mri10
object-recognition10
tensorflow10

Programming languages (6)

CSSC++HTMLJupyter NotebookRubyPython

Github contributions (5)

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rohanbanerjee/Morphic

Apr 2019 - Aug 2020

Privacy preserving data analytics platform
Contributions:4 commits, 3 pushes, 1 branch in 1 year 4 months
data-analyticsanalyticsprivacy-enhancing-technologiesprivacyprivacy-protection
Repository for the project on automatic spinal cord segmentation based on fMRI EPI data
Contributions:2 releases, 8 PRs, 96 pushes in 1 year 8 months
spinal-cordepisemantic-segmentationdeep-learningcomputer-vision
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Rohan Banerjee - Research Engineer at Fatima Fellowship