Vu Phan

Research Scientist at Google

Australia
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Summary

👤
Senior
🎓
Top School
Vu Phan is a Research Scientist specializing in multi-modal and foundational models for medical image analysis, with eight years of experience spanning academia and industry. He has developed vision-language pretraining, generative, and LLM-based systems for open-vocabulary recognition, visual question answering, and robust localization, and has 20+ publications at top venues including CVPR, ICCV, ACL and EMNLP. Vu has translated research into impact—securing competitive grants, delivering healthcare AI solutions, and producing an ICCV25 highlighted paper—before joining Google to push foundational and vision-language models for biometrics. Trained through a PhD in deep learning for scene understanding, he pairs rigorous academic grounding with applied deployments across transportation and healthcare, and a track record of improving model robustness and reducing hallucination in multimodal systems.
code8 years of coding experience
job4 years of employment as a software developer
bookMPhil/PhD, Deep Learning for Computer Vision and Scene Understanding, MPhil/PhD, Deep Learning for Computer Vision and Scene Understanding at University of Wollongong
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Github Skills (74)

unreal-engine-49
simulator9
ros9
bert9
computer-vision8
deep-reinforcement-learning8
3d-reconstruction8
carla8
sentiment-analysis8
ai8
autonomous-driving8
slam8
segmentation8
imitation-learning8
sentiment-classification8

Programming languages (6)

TypeScriptC++CJupyter NotebookMarkdownPython

Github contributions (5)

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hieuvmphan/REMINDER

Mar 2022 - Nov 2022

Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation
Contributions:38 commits, 2 PRs, 24 pushes in 8 months
semantic-segmentationcontinual-learningdeep-learningpytorch
hieuvmphan/LCFS-BERT

Jul 2020 - Jan 2022

[ACL'20] Resolving Syntactical Gap of BERT for aspect-based sentiment analysis
Contributions:9 commits, 9 pushes, 1 branch in 1 year 6 months
bertsentiment-analysistransformersyntax-boosting
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