Viren Jain

Viren Jain is a Research Scientist at Google in Mountain View, California where he is currently the technical lead of a team pursuing advances in high-throughput, synaptic-resolution brain mapping. Prior to Google, Viren was a Laboratory Head at the Howard Hughes Medical Institute (HHMI) Janelia Research Campus. Viren holds a PhD in Computation from MIT and undergraduate degrees in Computer Science and Cognitive Science from the University of Pennsylvania.

Google, Mountain View, United States

Talk title
Automated reconstruction of synaptic-resolution neural wiring diagrams using very large scale computation and machine learning.

Talk abstract
The large-scale reconstruction of synaptic-level wiring diagrams remains an attractive target for achieving greater understanding of nervous systems in health and disease. Progress has been severely limited due to technical issues involved in the imaging and analysis of nanometer-resolution brain imaging data. In this talk, we will discuss recent advances in using deep learning techniques (e.g., recurrent neural networks) and very large scale computation and storage capabilities in order to drive order-of-magnitude progress in automated analysis of 3d electron microscopy data. We will also discuss some of the biology that these projects are enabling, and prospects for making these tools and techniques widely available to neuroinformatics researchers.