Mackenzie Mathis
Mathis earned a Harvard doctorate in 2017 and led an independent laboratory supported by a Rowland Fellowship from 2017 to 2020. It dates her EPFL assistant-professor appointment from 2020. The original DeepLabCut research appeared in 2018. The shared project uses deep-learning transfer methods for markerless tracking of body parts and behavior across species. In 2023, Mathis coauthored Learnable Latent Embeddings for Joint Behavioral and Neural Analysis in Nature with Steffen Schneider and Jin Lee. This work is part of CEBRA.
Timeline
-
2017–2020
Independent neuroscience research
Mathis earned a Harvard doctorate in 2017 and led an independent laboratory supported by a Rowland Fellowship from 2017 to 2020. It dates her EPFL assistant-professor appointment from 2020.
-
2018
DeepLabCut
The original DeepLabCut research appeared in 2018. The shared project uses deep-learning transfer methods for markerless tracking of body parts and behavior across species.
-
2023
Learning joint neural and behavioral representations
In 2023, Mathis coauthored Learnable Latent Embeddings for Joint Behavioral and Neural Analysis in Nature with Steffen Schneider and Jin Lee. This work is part of CEBRA.
Sources and credits
Photo: www.mackenziemathislab.org; creator not stated. License: Not stated by source. Source: mackenziemathislab.org. Cropped to a square and resized. Ask us to remove or replace this photo.