Lily Goli
Visiting Researcher at University of California, Berkeley
Canada
Summary
👤
Senior🎓
Top SchoolLily Goli is a PhD candidate in Computer Science at the University of Toronto and a visiting researcher at UC Berkeley’s Kanazawa AI Lab, with eight years of hands-on experience in machine learning and medical imaging. She has blended academic rigor with industry exposure through research roles at Google, Waabi, and internships at TUM and UBC, working on projects from COVID-19 CT segmentation to ultrasound probe navigation. Proficient in C, Java, Python, and R, she focuses on algorithms and AI, bridging deep learning research with practical system implementation. Her trajectory shows a rare mix of longitudinal medical-image analysis and active vision, indicating an interest in perception problems across modalities. Based in Canada, she brings strong cross-institutional collaboration skills and a track record of translating complex research into applied prototypes.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Applied Science - BASc Computer Engineering, Bachelor of Applied Science - BASc Computer Engineering at CE @ Sharif University of TechnologyDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Toronto
Stackoverflow
1reputation
0reached
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Github Skills (14)
cropperjs8
image7
image-manipulation6
flutter-plugin6
flutter6
desktop5
android5
dart5
crop-image4
ios4
editor4
image-cropper3
kinematics1
computer-graphics1
Programming languages (4)
Github contributions (5)
nerf2nerf/nerf2nerf.github.io
Sep 2022 - Mar 2023
Contributions:42 commits, 42 pushes in 5 months
lilygoli/lilygoli.github.io
Nov 2020 - Mar 2025
Contributions:60 pushes, 3 branches in 4 years 4 months
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