The Team

I received my BSc from the University of Oregon, then worked in the labs of Hynek Wichterle and Christopher Henderson at Columbia University to build in vitro models of ALS. I then attended Harvard University for my PhD, where I worked in the laboratory of Nao Uchida investigating the role of reward and sensory prediction errors in guiding motor learning. Before starting at the Rowland, I was a postdoctoral fellow in the group of Matthias Bethge (University of Tübingen). In the News: RJF position, Peralta Prize, NSF Fellowship

I received my BSc from the University of Oregon, then worked in the labs of Hynek Wichterle and Christopher Henderson at Columbia University to build in vitro models of ALS. I then attended Harvard University for my PhD, where I worked in the laboratory of Nao Uchida investigating the role of reward and sensory prediction errors in guiding motor learning. Before starting at the Rowland, I was a postdoctoral fellow in the group of Matthias Bethge (University of Tübingen).
In the News: RJF position, Peralta Prize, NSF Fellowship

Mackenzie Mathis, PhD
Principal Investigator | Rowland Fellow
mathis@rowland.harvard.edu
Office Location: 3rd Floor, 308
Google Scholar

Alexander is our "in house" collaborator. He collaborates closely with us on computational models of motor adaptation and learning. Alexander studied Mathematics at the Ludwig Maximilians University in Munich. For his dissertation he derived properties of grid cells from optimal coding principles. As a Marie-Curie Fellow, he works on trail tracking in mice with Venki Murthy (MCB, Harvard) and Matthias Bethge (University of Tübingen). He strives to understand how internal representations guide behavior and how internal models are implemented in the brain.

Alexander is our "in house" collaborator. He collaborates closely with us on computational models of motor adaptation and learning. Alexander studied Mathematics at the Ludwig Maximilians University in Munich. For his dissertation he derived properties of grid cells from optimal coding principles. As a Marie-Curie Fellow, he works on trail tracking in mice with Venki Murthy (MCB, Harvard) and Matthias Bethge (University of Tübingen). He strives to understand how internal representations guide behavior and how internal models are implemented in the brain.

Alexander Mathis, PhD
Lab Mathematician
amathis@fas.harvard.edu
Office Location: 3rd Floor, 310
Publications & website

Tanmay completed his PhD focused on developing machine learning tools for biological systems. He joined the Mathis Lab in January of 2018.  

Tanmay completed his PhD focused on developing machine learning tools for biological systems. He joined the Mathis Lab in January of 2018.

 

Tanmay Nath, PhD
Postdoctoral Fellow | Data Scientist

Melody is co-mentored by Mackenzie and Nao Uchida. Her thesis work is focused on quantitative behavioral metrics during a rapidly learned freely-moving reaching & pulling task in mice.

Melody is co-mentored by Mackenzie and Nao Uchida. Her thesis work is focused on quantitative behavioral metrics during a rapidly learned freely-moving reaching & pulling task in mice.

Melody Tong
Undergraduate Researcher|Harvard College Class of '18

Coming soon!

Adrian Hoffmann
Masters student | University of Tuebingen, Neural Information Processing

Eric joined the Rowland in the fall of 2017, and provides technical support to several Fellows labs.

Eric joined the Rowland in the fall of 2017, and provides technical support to several Fellows labs.

Eric Hepler
Animal Technician


Collaborators:

Matthias Bethge, PhD
Bethgelab.org


Travis DeWolf, PhD
Applied Brain Research - Publications & Blog
 

Nicolas Renier, PhD
Group leader at Institut du Cerveau et de la Moelle épinière- Publications & lab website