David A. Sabatini

David is a graduate student in the Rajan Lab studying how the geometry of neural representations allows for noise-robust computations. David received his BA in Neuroscience from the University of Chicago. In his time at Chicago, David worked with the Kaufman lab to identify principles of motor control in goal-directed reaching, and to develop novel brain-computer interface algorithms. David has additionally worked on alignment of neural data across behaviors and subjects at Stanford University, along with developing novel methods of integrating multi-omics datasets at the Massachusetts Institute of Technology. In his free time, David travels, and is an avid runner and swimmer.