MathisM_Website_04.jpg

Mackenzie Weygandt Mathis, PhD

Publications:
Google Scholar


Biography
:

Prof. Mackenzie W. Mathis is the Bertarelli Foundation Chair of Integrative Neuroscience and an Assistant Professor at the Swiss Federal Institute of Technology, Lausanne (EPFL). Following the award of her PhD at Harvard University in 2017 with Prof. Naoshige Uchida, she was awarded the prestigious Rowland Fellowship at Harvard to start her independent laboratory (2017-2020). Before starting her group, she worked with Prof. Matthias Bethge at the University of Tübingen in the summer of 2017 with the support of the Women & the Brain Project ALS Fellowship. She is an ELLIS Scholar, Vallee Scholar, a former NSF Graduate Fellow, and her work has been featured in the news at Bloomberg BusinessWeek, Nature, and The Atlantic. She was awarded the FENS EJN Young Investigator Prize 2022, the Eric Kandel Young Neuroscientist Prize in 2023, and the Swiss Science Prize Latsis 2024.

Her lab works 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.

In the News:

RJF position, Peralta Prize, NSF Fellowship, The Atlantic, Bloomberg Businessweek, Nature (DLC), Nature, Nature Methods Profile, Nature Profile

Mini CV:

  • 2020 - present: Tenure-track Assistant Professor, EPFL & Bertarelli Foundation Chair of Integrative Neuroscience

  • 2017 - 2020: Rowland Fellow at Harvard University (faculty)

  • 2017: Postdoctoral Fellow with Prof. Dr. Matthias Bethge at the University of Tübingen (April - August 2017)

  • 2012 - 2017: PhD studies at Harvard University under the direction of Prof. Naoshige Uchida.

  • 2007 - 2012: pre-graduate work (research tech) at Columbia University on stem cell derived motor neurons under the direction of Prof. Christopher Henderson & Hynek Wichterle.

Editorial Service:

  • Current Opinion in Neurobiology Editorial Board 2021 - present

  • BRE eLife Editor 2020-2024

  • Science Advances Reviewing Editor 2021 -2023

Current External Service:

Teaching

I teach two main courses at EPFL:

  • BIO-311 Introduction to Neuroscience

  • NX-435 Systems Neuroscience

I also lecture in other courses, such as:

  • CS-421 Machine learning for behavioral data

  • CS-503 Visual intelligence--machines and minds

Fun facts: MWM is cited within Principles of Neural Science textbook (for co-developing subtypes of motor neuron in vitro; check out page 1301)!

And within Principles of Neurobiology textbook (for DeepLabCut!)