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.
Paul A. Taylor
Acting Core Director for the SSCC
Paul has been staff scientist in the SSCC since 2015, and has been
Acting Core Director since the start of 2022. He works on many of
the diffusion weighted imagings tools in AFNI, as well as on the FMRI
and general processing ones. He also likes data visualizaton and
quality control (QC).
E-mail: paul.taylor @ nih.gov
Office: Building 10, Room 1D80
Bethesda MD, 20892
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.
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.
Rick Reynolds started in Dec 2001 as a Computer Scientist in the Core.
Office: Building 10, Room 2D40
Office: Building 10, Room 2D40
Elaine is the Core's Adminstrative Assistant.
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 @ nih.gov
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 @ nih.gov
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 @ nih.gov
Robert W. Cox
Bob is a Special Volunteer with the SSCC. He is particulary special
because he started AFNI and was the Core DIrector from 2001-2021.
His interests include algorithms, optimization, data visualization,
processing, alignment and more.
John Lee: 2016-2019
Abera Wouhib: 2016-2017
Ziad S. Saad: 2001-2015
Hang Joon Jo