Research Scientist,
Dept. of Physical Medicine and Rehabilitation,
Rehabilitation Institute of Chicago
ABSTRACT
Advances in imaging, chemistry, and optics have produced new techniques that provide unprecedented ability to interrogate the brain’s structure and function. These advances have produced a neural data deluge: raw data is being generated at rates that most labs are not equipped to reconstruct and segment, let alone extract biological insights from. The primary aim of my research is to leverage simultaneous advances in machine learning and data science to tackle this deluge of data, and eventually make sense of cellular-resolution datasets at the scale of entire brains. In this talk, I will describe my efforts in developing new approaches for analyzing large-scale neural recordings, including examples from methods that use combinations of electrons, X-rays, and light to interrogate the structure and function of the brain at the nano and mesoscale.
Host: May Wang, Ph.D.
Tuesday, January 17
10:30 a.m.
Georgia Tech: Whitaker Bldg, McIntire Room 3115
Videoconference:
Emory: HSRB E182
Georgia Tech: TEP 104