Board certified radiologist, fellowship trained in neuroradiology, with background in computer science and interest in applications of technology for improving health care delivery. My focus is in applying automated parallelized image analysis pipelines implemented in clinical environments for providing the best care and carrying out clinical studies. My work seeks to bring features of subtle brain injury detection and connectivity into standard patient care.

Instructor of Neuroradiology @ Academic Neuroradiologist examining ways to bring brain connectivity features that can predict disability or response to therapy to clinical practice. From December 2014 to Present (1 year 1 month) Ad Hoc Reviewer @ Ad Hoc journal article submission reviewer. From January 2012 to Present (4 years) WRIISC Research Fellow @ Engaging in advanced neuroimaging of TBI as part of CA War Related Illness and Injury Study Center (WRIISC) physician panel. Review cases referred to the CA WRIISC with panel, also review cases for Stanford / VA Memory Clinic. Have overseen implementation of research imaging sequences on Palo Alto VA MRI scanners (QSM, DTI, Spiral BOLD / Resting State). Created computer systems that allow research MRI sequences to be performed and analyzed at the Palo Alto VA. Also implementing advanced, automated neuroimaging analysis methods for studying TBI, including volumetric analysis (FreeSurfer, Neuroquant, VBM), white matter tract analysis (TRACULA, Diffusion Toolkit, Explore DTI, NODDI), Brain PET (SPM, 3D-SSP), and structural connectivity analyses (matlab, brainsuite). Work entails variety of platforms (Windows, Linux, Mac) and architectures (servers, compute clusters, workstations). From 2012 to December 2014 (2 years) Postdoctoral Fellow @ Engaging in applications of advanced MRI neuroimaging techniques (Quantitative Susceptibility Mapping, PROMO ASL, Multi B shell DTI) correlated with neurocognitive and other clinical information to recognize and help manage traumatic brain injury. Implementing automated analysis methods (e.g. Freesurfer with hippocampal subfield segmentation, whole brain structural connectivity analysis, Fiber Tracking, ROI based analysses, NODDI). Working as part of Moseley group and in conjunction with Zaharchuck group at Stanford. From 2012 to December 2014 (2 years) Neuroradiology Attending @ Interpreting neuroradiology cases while supervising the training of residents during their neuroradiology rotation at the Palo Alto VA. Implementing tailored imaging protocols, including diffusion tensor imaging, for clinical applications. From 2012 to 2014 (2 years) Instructor of Radiology @ From July 2011 to June 2012 (1 year) Neuroradiology Fellow @ Completed 2 year diagnostic neuroradiology fellowship. From June 2010 to June 2012 (2 years 1 month) Fetal MRI Rotation @ Rotated on Fetal MRI service under Dr. Prayer at Medizinische Universität Wien (AKH). Engaged in both clinical and research activities of the service. From 2011 to 2011 (less than a year) AustriaDiagnostic Radiology Resident @ Completed 4 year diagnostic radiology residency program, completing ABR physics, written, and oral examinations. From June 2006 to June 2010 (4 years 1 month) Internship @ Completed internship in medicine and surgery, passed USMLE Step 3. Created software to manage clinical service patient data that was named semifinalist for Massachusetts Medical Society Information Technology Award. From June 2005 to June 2006 (1 year 1 month)

Master of Science (MS), Computer Science THESIS: Rigid Registration of Echoplanar & Conventional MRI by Minimizing the KLD @ Massachusetts Institute of Technology From 2000 to 2003 Neuroradiology Fellowship Program @ Stanford University From 2010 to 2012 Doctor of Medicine (MD), Medicine @ UMDNJ Robert Wood Johnson Medical School From 1997 to 2005 Bachelor's degree, Chemistry, Public Health @ The Johns Hopkins University From 1993 to 1997 Salil Soman, MD, MS is skilled in: MRI, Neuroimaging, Radiology, Medical Imaging, Clinical Research, Neuroradiology, Medicine, Healthcare, Image Processing, Image Analysis, Board Certified, Computed Tomography, Animal Models, Neuroscience, Translational Research