Mu Zhou 👩‍💻 🐻

I am a PhD student in Mathis Group at EPFL, Switzerland. My PhD advisor is Prof. Alexander Mathis.

I am passionate about understanding how animals behave and interested in mixing AI with diverse disciplines such as Neuroscience, Ecology, and various scientific fields. I am crafting AI tools that empower neuroscientists to study and track how animals move and behave, facilitating the understanding of the brain. Meanwhile, I am building AI tools to recognize and monitor wild animals, exemplified by my work with grizzly bears in Alaska, assisting scientists in their conservation endeavors.

Email | GitHub | Google Scholar | LinkedIn | Twitter

Research

[Dec. 2023] AmadeusGPT: a natural language interface for interactive animal behavioral analysis (NeurIPS 2023).
S Ye, J Lauer, M Zhou, A Mathis, M W. Mathis
(code, project, paper)

[Oct. 2023] Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity (ICCV 2023).
M Zhou*, L Stoffl*, M W. Mathis, A Mathis
(code, video, paper)

[Jun. 2023] Field work in Alaska.
Collaborating with biologists from Alaska Department of Fish and Game & Alaska Pacific University on Grizzly Bear Re-Identification project. (photos)

[Apr. 2022] Multi-animal pose estimation, identification and tracking with DeepLabCut (Nature Methods 2022).
J Lauer, M Zhou, S Ye, W Menegas, S Schneider, T Nath, M M. Rahman, V D. Santo, D Soberanes, G Feng, V N. Murthy, G Lauder, C Dulac, M W. Mathis*, A Mathis*
(code, paper)