Mackenzie Mathis, PhD
Mackenzie Mathis is the Bertarelli Foundation Chair of Integrative Neuroscience and an Assistant Professor at the Swiss Federal Institute of Technology, Lausanne (EPFL). Mackenzie studied at the University of Oregon before completing a PhD in 2017 at Harvard University. She was awarded the prestigious Rowland Fellowship at Harvard to start her independent laboratory (2017-2020), and moved to EPFL in 2020. She is a co-developer of DeepLabCut, a widely used open source software for measuring animal behavior. She is an ELLIS Scholar, a former NSF Graduate Fellow, and was awarded the FENS EJN Young Investigator Prize 2022.
Research in the Mathis Laboratory focuses on mechanisms underlying adaptive behavior in intelligent systems. Specifically, the laboratory combines machine learning, computer vision, and experimental work in rodents with the combined goal of understanding the neural basis of adaptive motor control.