Kaichun Mo
Kaichun Mo
NVIDIA
Names
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Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@stanford.edu
, ****@cs.stanford.edu
, ****@nvidia.com
Personal Links
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Education & Career History
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Researcher
NVIDIA (nvidia.com)
2022 – Present
PhD student
Stanford University (stanford.edu)
2016 – 2022
Advisors, Relations & Conflicts
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PhD Advisor
Leonidas Guibas
****@cs.stanford.edu
2016 – 2022
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Robotics
2020 – Present
Computer Vision
2015 – Present
Computer Graphics
2015 – Present