Tianqing Li

PhD Candidate | Department of Biomedical Engineering, Duke University

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Contact: tianqing.li@duke.edu

Welcome! I am currently a third year BME PhD student at Duke University, advised by Dr. Timothy Dunn. My research has focused on building computer vision tools that measure how lab animals move, quantitatively and precisely in 3D, together with data-driven frameworks that efficiently transform behavioral dynamics into informative representations, ultimately in connection with the brain.

Before Duke, I completed my undergraduate in Applied Mathematics and Bioengineering at University of California, Los Angeles. I worked on AI-facilitated medical image analysis at UCLA Medical Informatics advised by Professor William Hsu, mainly upon CT scan denoising and breast lesion detection in ultrasound.

Outside of research, I enjoy reading mystery and detective fiction. Some of my favorites are The Seventh Hypothesis by Paul Halter, The Tokyo Zodiac Murders and The Knight Stranger by Soji Shimada.

Research Interests

  • 3D motion capture in unconstrained social rodents
  • unsupervised behavioral/motion representation learning
  • social phenotyping of neuropsychiatric diseases (autism)
  • deep learning for computational neuroscience & ethology

news

Jan 01, 2024 I’ll be joining Meta Reality Labs this summer as a Research Scientist Intern!
Nov 29, 2023 I was glad to present at Harvard Neurolunch with my collaborator Ugne Klibaite (Ölveczky lab) on High-Resolution 3D Tracking of Freely Interacting Animals for Multi-Scale Classification of Social Behavior.

selected publications

  1. vq.png
    Vector Quantized Representations for Efficient Hierarchical Delineation of Behavioral Repertoires
    Tianqing Li ,  Ugne Klibaite ,  Jumana F Akoad ,  Joshua H Wu ,  and  Timothy W Dunn
    Computational and Systems Neuroscience (Cosyne), 2024
  2. sdannce.png
    Mapping the Landscape of Social Behavior
    Ugne Klibaite* ,  Tianqing Li* ,  Diego Aldarondo ,  Jumana F Akoad ,  Bence P Ölveczky ,  and  Timothy Dunn
    Under Review, 2023
  3. temporal.png
    Improved 3D Markerless Mouse Pose Estimation Using Temporal Semi-supervision
    Tianqing Li ,  Kyle S Severson ,  Fan Wang ,  and  Timothy W Dunn
    International Journal of Computer Vision, 2023
  4. leaving_flatland.jpg
    Leaving flatland: Advances in 3D behavioral measurement
    Jesse D Marshall ,  Tianqing Li ,  Joshua H Wu ,  and  Timothy W Dunn
    Current Opinion in Neurobiology, 2022