Jennifer J. Sun

Jennifer J. Sun is an Assistant Professor in the Computer Science department at Cornell University and part-time research scientist at Google DeepMind. Her research focuses on developing computer vision and machine learning methods for scientific workflows, emphasizing human-AI collaboration in domains like behavior analysis and neurosymbolic programming.

She holds a PhD from Caltech's Computing and Mathematical Sciences program (advised by Pietro Perona and Yisong Yue). Her work has been supported by Amazon, NSERC, and the Simons Foundation.

• Key Research Areas: Self-supervised learning, behavior analysis, view-invariant pose estimation, neurosymbolic AI
• Awards: Amazon AI4Science Fellowship, CVPR 2021 Best Student Paper
• Labs: Leads automated behavior analysis lab at Cornell with open-source tools like B-KinD and TREBA frameworks

Her lab develops tools like B-KinD for keypoint discovery in animal behavior videos and TREBA for data-efficient behavior analysis. Current projects include pre-trained language models for scientific applications and video foundation models.