Ved Sharma
Advanced Image Analyst at The Rockefeller University
New York, New York, United States
Summary
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Top SchoolVed Sharma is an Advanced Image Analyst with eight years of multidisciplinary experience applying quantitative microscopy, machine learning, and deep learning to cancer biology and tumor microenvironment questions. Based at Rockefeller University, he combines expertise in light-sheet, multiphoton, confocal and whole-slide imaging with hands-on proficiency in ImageJ/Fiji, Imaris, QuPath and advanced deconvolution/visualization tools. Comfortable coding in Python, R and Java and deploying CNNs via TensorFlow and ZeroCostDL4Mic, he builds reproducible pipelines for segmentation (Cellpose, Stardist), tracking and spatial analysis. His background—Ph.D. in Chemical Engineering plus extensive postdoctoral work—gives him a unique systems-level view of imaging experiments, from optics and sample prep to computational interpretation. An active researcher with publications and an open GitHub presence, he translates complex image datasets into biologically actionable results for metastasis, invasion and cell signaling studies.
7 years of coding experience
9 years of employment as a software developer
Indian Institute of Technology KanpurPh.D., Chemical Engineering, Ph.D., Chemical Engineering at University of Florida
Github Skills (35)
segmentation9
pdf-viewer7
pdf7
ubuntu7
pen6
arch6
handwriting5
wacom5
explore5
google-colab5
bids5
electrophysiology5
debian5
linux4
windows4
Programming languages (4)
Github contributions (5)
ved-sharma/Digits_recognition_OpenCV_Python
Jul 2021 - Nov 2022
Contributions:20 commits, 14 pushes in 1 year 4 months
ved-sharma/HyperStackReg
Nov 2018 - Dec 2022
An ImageJ/FIJI plugin for multi-channel Hyperstack alignment (registration)
Contributions:2 releases, 37 commits, 31 pushes in 4 years 1 month
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