Fenil Doshi
Graduate Research Fellow
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolFenil Doshi is a Ph.D. candidate and Graduate Research Fellow at Harvard with nine years of experience applying deep learning and computer vision to understand mid-level visual representations in human perception. He combines computational modeling (primarily deep neural networks), behavioral psychophysics, and neuroimaging to probe how proto-object tuning and spatial topographies emerge in biological vision. His work spans academic and industry settings—from research roles at Harvard Medical School and Dolby’s Advanced Technology Group to founding a cross-disciplinary student lab—demonstrating an ability to translate theory into scalable experiments and systems. Based in Cambridge, MA, he brings a rare blend of neuroscience rigor and practical computer vision engineering, including applied projects in medical imaging and OCR. Those who work with him note his interdisciplinary mentorship and knack for turning sophisticated models into testable behavioral predictions.
9 years of coding experience
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at SRM UniversityVisiting Student, Computer Science, Visiting Student, Computer Science at University of Wisconsin-MadisonDoctor of Philosophy - PhD, Cognitive Neuroscience, Doctor of Philosophy - PhD, Cognitive Neuroscience at Harvard University
English, Japanese, Hindi, Gujarati
Github Skills (16)
markdown10
gitpod10
github-pages10
jekyll10
neural-style-transfer5
style-transfer4
visual-question-answering3
machine-learning3
question-answering2
artificial-intelligence2
deep-learning2
pytorch2
swift1
python1
ios1
Programming languages (3)
Github contributions (5)
feziodoshi/feziodoshi.github.io
Feb 2021 - Jan 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:308 pushes, 6 branches in 4 years
templategithub-pages-templatemmistakesmistakesjekyll
feziodoshi/Deep-Convolutional-GAN
May 2017 - May 2017
Contributions:16 commits, 15 pushes, 1 branch in 17 days
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