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
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.
Tanmay completed his PhD focused on developing machine learning tools for biological systems. He joined the Mathis Lab in January of 2018.
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.
Eric joined the Rowland in the fall of 2017, and provides technical support to several Fellows labs.