SSCC Staff

Scientific and Statistical Computing Core

SSCC is the Scientific and Statistical Computing Core of the NIMH Intramural Research Program. The primary function of this core is to support functional neuroimaging research at the NIH. This includes development of new data analysis techniques, their implementation in the AFNI software, advising researchers on the analysis methods, and instructing them in the use of software tools.


Robert W. Cox

   ​RWCThe Core leader is Robert W Cox. He started this whole mess in Jan 2001,
   at the behest of Robert Desimone, Scientific Director of the NIMH.             

           Phone: 301-594-9196
           Office: Building 10, Room 1D73
Bob's Home page


Gang Chen

  Gang Chen started in March 2003 as a Mathematical Statistician.
  He provides consulting on any statistics-related issues, and keeps
  developing new statistical tools in AFNI.

          Phone: 301-594-9193
                                             Office: Building 10, Room 1D73      
Gang's Home page


Daniel Glen

  Daniel Glen started in November 2004 as a Computer Engineer.
  He works mostly on issues related to atlases, templates and
  alignment. He also devlops new visualization methods.

              E-mail: glend at
              Phone: 301-451-6236
                                                 Office: Building 10, Room 2D40
Daniel's Home Page



Rick Reynolds

  Rick Reynolds started in Dec 2001 as a Computer Scientist in the Core.

              Phone: 301-451-6234
              Office: Building 10, Room 2D40


Brian Pittman 

 Brian Pittman is the System/Web Administrator of the Core.
 He maintains the AFNI, and NIfTI web sites.

              Phone: 301-451-6233
              Office: Building 10, Room 2D40



Paul A. Taylor

 Paul started in September, 2015, as a staff scientist. 
 He has a background in physics, and prior to joining the Core
 was a neuroimaging postdoc at UMDNJ and the University of Cape Town. 
 He works on many of the diffusion weighted imaging tools in AFNI,
 as well as on the FMRI and general processing ones. 
 He also likes data visualization and quality control (QC)
                                                        E-mail: paul.taylor @
                                                        Phone: 301-402-1352
                                                        Office: Building 10, Room 1D73
Paul Taylor's Google scholar page:


Elaine Raab

  Elaine is the Core's Adminstrative Assistant.

          Phone: 301-496-3591
          Office: Building 10, Room 1D73



Justin K. Rajendra 

 Justin joined in 2017 after more than a decade of clinical research in various
 neuroscience related fields (depression, post stroke rehabilitation, mindfulness,
 chronic fatigue). Modalities included fMRI, PET, fNIRS, TMS, EMG, EEG,
 motion capture, clinical performance measures. He previously worked at
 Emory University in the department of Psychiatry as a research informatics analyst.

                                                             Email: justin.rajendra @
                                                             Phone: 301-451-6235
                                                             Office: Building 10, Rm 2D40
Justin's Google scholar page:

Yamuna Narayana Swamy  

 Yamuna studied medical image analysis and inverse problems in Diffuse optical
 tomography for her graduate studies. Following this she worked as a research
 associate in the astrophysical relativity group at ICTS where she worked on
 parameter estimation in gravitational waves. She joined the AFNI group in
 September 2020 as a postdoc, and currently she is working on implementing
 deep learning methods on MRI image analysis.

                                                                  E-mail: yamuna.narayanaswamy @

Peter Lauren

 Peter Lauren joined the group in September, 2020.  He completed a
 BSc in Physics at Otago University, New Zealand, a Masters in Biomedical
 Engineering at the University of New South Wales, Australia and a
 PhD in Electrical Engineering at the University of Virginia. 
 His professional interests are the application of image processing,
 and data science, to the biomedical field.

                                                                   E-mail: peter.lauren @

Peter's Google scholar page:

SSCC Alumni/ae


John Lee (2016-2019)

 John studied olfactory behavior using electrophysiology and calcium imaging in the Drosophila model organism for his graduate studies. Following this, he joined the Data Science and Sharing Team (DSST) at NIMH. He processed and published datasets collected by scientists working there. Additionally he helped to aggregate publicly shared datasets for usage by on site scientists and ran various data processing pipelines on the NIH cluster. On the AFNI team, he is working towards improving AFNI's integration with other community tools and improving its ease of use for cloud computing.