Pulkit Khandelwal
Postdoctoral Research Fellow at Harvard Medical School and Massachusetts General Hospital
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolPulkit Khandelwal is a postdoctoral research fellow at Harvard Medical School and Massachusetts General Hospital with 11 years of experience building computational methods for high-resolution postmortem brain MRI and linking morphometry to histopathology. He completed a PhD in Medical Image Analysis at the University of Pennsylvania after an MSc in Computer Science at McGill, and has held internships at Google and Amazon, blending academic rigor with applied ML engineering. Pulkit contributes to open-source computer vision tooling—most notably implementing Laplacian image filters in the popular kornia library—demonstrating a solid grasp of both mathematical foundations and production-quality testing. His work spans neurodevelopment and neurodegeneration, motivated by integrating imaging and histology to reveal microstructural brain changes that are not apparent in standard clinical scans. Based in Boston, he combines deep research collaborations at the Martinos Center with practical software contributions that accelerate reproducible neuroimaging analysis.
11 years of coding experience
4 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at McGill UniversityBachelor’s Degree Electronics and Communication Engineering, Bachelor’s Degree Electronics and Communication Engineering at Vellore Institute of TechnologyDoctor of Philosophy - PhD Medical Image Analysis, Doctor of Philosophy - PhD Medical Image Analysis at University of Pennsylvania
English, Hindi
Github Skills (8)
computer-vision10
pytorch10
machine-learning10
python10
image-processing10
pytest9
testing9
neural-network9
Programming languages (3)
Github contributions (5)
kornia/kornia
Apr 2019 - Apr 2019
🐍 Geometric Computer Vision Library for Spatial AI
Role in this project:
ML Engineer
ML EngineerContributions:58 commits, 1 PR, 13 comments in 3 days
Contributions summary:Pulkit primarily contributed to the implementation and testing of Laplacian filters within the `kornia` library, focusing on image processing capabilities. Their work involved developing functions for creating 1D and 2D Laplacian kernels, as well as a LaplacianBlur class for applying the filter. The user also integrated these features with testing modules to ensure functionality and correctness, demonstrating a strong understanding of the mathematical concepts and practical application of the filters.
pytorchdifferentiablepythonvisiondeep-learning
Pulkit-Khandelwal/Augmented-Reality-and-Graph-Cut-OpenCV
Jul 2016 - Oct 2017
Contributions:21 commits, 1 PR, 19 pushes in 1 year 3 months
realitymarkerobject-detectioncomputer-visionaugmented
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