Benjamin D. Singer, PhD

picture of ben
Director of Scientific Computing
Princeton Neuroscience Institute (see CSBMB, Neuroscience)
Green Hall
Princeton University
(609)258-8632
I work on neuroimaging analysis methods such as function-based inter-subject alignment of cortical anatomy, surface-based analysis and visualization, and multiple voxel pattern analysis. In addition to implementing novel methods, I work to speed up and streamline neuroimaging analysis algorithms via low-level optimizations and parallelization. The latter is achieved with the help of a 64-node computer cluster I helped acquire, set up and maintain.

My neurotree node.

Selected work:


Neuroimaging

3D funcnorm demo [13MB]

Vision Science

I also do work in vision science, now mostly as a consultant. I came to the CSBMB from the Center for Visual Science at the University of Rochester where I did work in electrophysiology and retinal imaging as a postdoc turned staff member, following graduate work in color vision at UCI Cognitive Science and undergraduate work at Cornell Psychology.

Adaptive optics for retinal imaging and supernormal vision:

Human color vision:


Scientific Computing

A theme throughout my life has been fooling with computers and programming. My main contribution to the above work was (and still is) implementing the algorithms underlying research questions in software (algorithm development, stimulus presentation, device control/communication, and data analysis) running on the Macintosh operating system whenever possible. It's fun!

Software:


bdsinger@princeton.edu