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
The 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.
E-mail: rwcox@nih.gov
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.
E-mail: gangchen@mail.nih.gov
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 mail.nih.gov
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.
Email: reynoldr@mail.nih.gov
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.
Email: pittmanb@nih.gov
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 @ nih.gov
Phone: 301-402-1352
Office: Building 10, Room 1D73
Paul Taylor's Google scholar page:
Elaine Raab
Elaine is the Core's Adminstrative Assistant.
Email: raabe@mail.nih.gov
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 @ nih.gov
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 @ nih.gov
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 @ nih.gov
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.
