Researcher

Qianqian Wang

Also known as Quinn

Qianqian Wang is a computer vision researcher whose papers model motion and reconstruct dynamic 3D scenes from video. She earned a B.S. in Information Engineering at Zhejiang University, completed a computer science Ph.D. at Cornell, and received a 2022 Google Ph.D. Fellowship. Her work includes OmniMotion for long-range pixel tracking, DynIBaR for rendering dynamic scenes, and Shape of Motion for 4D reconstruction from monocular video. After a Berkeley postdoc and research work at Rhoda AI, she is an Assistant Professor of Computer Science at Harvard and a Kempner Institute Investigator.

Timeline

  1. By 2022

    Zhejiang and Cornell

    She earns a B.S. in Information Engineering from Zhejiang University. By 2022, she is a fifth-year computer science Ph.D. student at Cornell Tech, advised by Noah Snavely and Bharath Hariharan.

  2. 2022

    A Google PhD Fellowship

    The Google Ph.D. Fellowship Program selects her as one of its 2022 fellows.

  3. 2022

    Neural Body for dynamic humans

    She coauthors Neural Body, an approach for novel-view synthesis of dynamic humans nominated for a CVPR 2022 Best Paper Award.

  4. 2023

    A PhD and OmniMotion

    She completes a Ph.D. in Computer Science at Cornell University in 2023 under Noah Snavely and Bharath Hariharan. She coauthors OmniMotion, an ICCV 2023 method for dense, long-range motion estimation of every video pixel; the paper wins the ICCV Best Student Paper Award in 2023.

  5. 2023

    DynIBaR renders dynamic scenes

    She coauthors DynIBaR, which produces photorealistic free-viewpoint renderings from a single video of a complex dynamic scene and receives a CVPR 2023 Best Paper Honorable Mention.

  6. 2024–2025

    Shape of Motion

    She introduces Shape of Motion in a 2024 preprint, reconstructing dynamic scenes with persistent 3D motion trajectories from casually captured monocular videos. The paper appears at ICCV in 2025.

  7. 2025

    MegaSaM receives a CVPR honor

    She coauthors MegaSaM, a method for structure and motion from casual dynamic videos that receives a CVPR 2025 Best Paper Honorable Mention.

  8. August 2025

    A Harvard appointment

    In August 2025, Harvard announces that Wang will join as Kempner Institute Investigator and Assistant Professor of Computer Science at SEAS.

  9. By 2026

    Research at Rhoda AI

    Before joining Harvard in fall 2026, she is a Research Scientist at Rhoda AI, following a postdoc at UC Berkeley with Angjoo Kanazawa and Alexei A. Efros.

  10. Since 2026

    Assistant professor at Harvard

    In fall 2026, she joins Harvard as Assistant Professor of Computer Science at SEAS and Kempner Institute Investigator.

Career

  1. Since 2026Harvard UniversityAssistant Professor of Computer Science, Investigator
  2. University of California, BerkeleyPostdoc
  3. Rhoda AIResearch Scientist

Education

  1. 2023Cornell UniversityPhD in Computer Science
  2. Zhejiang UniversityB.S. in Information Engineering
  3. Cornell UniversityPhD student in computer science

Sources and credits

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  1. Qianqian Wang | EECS Rising Stars 2022 risingstars.utexas.edu. Checked 26 October 2026.
  2. Qianqian Wang awarded Google Fellowship bowers.cornell.edu. Checked 26 October 2026.
  3. Computer Scientist Qianqian Wang, an Expert in Computer Vision, to Join Harvard’s Kempner Institute and SEAS kempnerinstitute.harvard.edu. Checked 26 October 2026.
  4. Tracking Everything Everywhere All at Once arxiv.org. Checked 26 October 2026.
  5. Qianqian (Quinn) Wang qianqianwang68.github.io. Checked 26 October 2026.
  6. Qianqian Wang | Cornell Graphics and Vision Group rgb.cs.cornell.edu. Checked 26 October 2026.
  7. DynIBaR: Space-time view synthesis from videos of dynamic scenes research.google. Checked 26 October 2026.
  8. Shape of Motion: 4D Reconstruction from a Single Video arxiv.org. Checked 26 October 2026.
  9. CVPR 2025 Best Papers and Best Demos cvpr.thecvf.com. Checked 26 October 2026.
  10. Qianqian Wang | Harvard John A. Paulson School of Engineering and Applied Sciences seas.harvard.edu. Checked 26 October 2026.