LijieĀ Fan
Research Scientist
Cambridge, Massachusetts, United States
Summary
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SeniorLijie Fan is a research scientist at Google DeepMind and a PhD candidate at MIT CSAIL, focusing on generative models. With nine years of experience in research and software development, they blend academic rigor with industry-scale ML exploration. Based in Cambridge, Massachusetts, they work at the intersection of theory and practical AI systems. As a MIT CSAIL PhD student, they apply deep theoretical training to tackle challenging generative-model problems. Their work aims to translate innovative model designs into scalable, real-world AI applications. This unique blend of academia and industry positions them to contribute to the next generation of AI research and deployment.
9 years of coding experience
Github Skills (4)
motion-tracking10
optical-flow10
video-understanding9
pytorch6
Programming languages (1)
Github contributions (5)
LijieFan/tvnet
Sep 2018 - Jun 2021
End-to-End Learning of Motion Representation for Video Understanding
Contributions:5 commits, 7 pushes in 2 years 9 months
pytorchrepresentationunderstandingend-to-endoptical-flow
LijieFan/LijieFan.github.io
Feb 2017 - Dec 2017
Contributions:8 pushes, 1 branch in 10 months
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