[2] During his PhD work, he studied optimal coding approaches to reveal the properties of grid cells[3] and how distributed population activity readout can be implemented in plausible bio-physical models.

[1] After completing his PhD, Mathis went in 2013 as a postdoctoral fellow to work under the mentor-ship of Prof. Venkatesh N. Murthy at the Department of Molecular and Cellular Biology at Harvard University.

[13] He is one of the initiators and developers of the open-source research tool DeepLabCut with his spouse Mackenzie Weygandt Mathis that estimates animal postures via computer vision and machine learning.

[15] Several publications appeared during this research period, including the highly cited paper "DeepLabCut: markerless pose estimation of user-defined body parts with deep learning" by Mathis et al. published in 2018 in Nature Neuroscience.

The Mathis Group is committed to enhancing machine learning tools for animal behavior analysis and to developing of neural network models of sensorimotor representation.