BRICS Leadership Team
If you’re interested in using BRICS for your research needs, or would like to learn more about it, please contact Dr. McAuliffe or Dr. Fann.
Matthew McAuliffe, PhD
NIH Campus/ CIT Building 12A, Room 2039
12 South Dr. Bethesda, MD 20814
Matthew McAuliffe, PhD
Chief, Scientific Application Services (SAS)
Dr. McAuliffe has been at NIH since 1998 and is currently the Chief of the Scientific Application Services (SAS) section in the Office of Scientific Computing Services (OSCS). He provides computational and engineering expertise to a variety of clinical and biomedical informatics activities at NIH and is committed to supporting data sharing and making data FAIR (Findable, Accessible, Interoperable, and Reusable). He leads the development of the Biomedical Research Informatics Computing System (BRICS) (http://brics.cit.nih.gov/) which is a comprehensive data informatics system designed to efficiently collect, validate, harmonize, and analyze research datasets. In addition, Dr. McAuliffe strives to advance and empower scientific imaging research in the NIH intramural program, to this end, SAS has created and continues the development of the successful Medical Image Processing Analysis and Visualization application (MIPAV: http://mipav.cit.nih.gov). MIPAV enables quantitative analysis and visualization of biomedical imaging modalities (from micro to macro) and is used by researchers at NIH and around the world. It’s open source and therefore freely available and has been downloaded over 100,000 times by researchers throughout the world.
Dr. McAuliffe earned his Bachelor of Science in Electrical Engineering degree from the University of Detroit, Masters in Software Engineering from Johns Hopkins, and his Ph.D. in Biomedical Engineering from the University of North Carolina at Chapel Hill, NC. His current research interests include medical informatics and biomedical imaging specializing in segmentation, quantification, and image fusion.
Yang C. Fann, PhD
NIH/ NINDS Building 35A, Room GD717
35 Convent Drive, Bethesda, MD 20892
Yang Fann, PhD
Director, Intramural IT and Bioinformatics Program
PI, Informatics Core, CNRM
Dr. Fann joined NINDS in 2002 as the Director of the Intramural IT and Bioinformatics Program overseeing the information technology support services and infrastructures, as well as developing biomedical informatics research programs. In addition to BRICS, he led the development of the Clinical Informatics and Management System (CIMS), which significantly improved the efficiency of clinical research management. In 2010, his creation of Purchasing On-line Tracking System (POTS) won him the first ever HHS Innovates Award presented by the Secretary of HHS.
In addition to his roles and responsibilities at NINDS, Dr. Fann serves on many NIH advisory committees including the Medical Executive Committee IT subcommittee and the Biomedical Translational Research Information System (BTRIS) Steering Committee. His current research interests are computational biology, bioinformatics, clinical research informatics, and applying information technology for advancing translational biomedical research.
- Federal Interagency Traumatic Brain Injury Research (FITBIR) Website https://fitbir.nih.gov
- Parkinson’s Disease Biomarkers Program (PDBP) Website: https://pdbp.ninds.nih.gov/
- NINDS PDBP DMR (2014 Best Overall Excellence.Gov Award Recipient)
- “The Program is a landmark collaborative effort and reflects the strong commitment of NINDS to support progress in this field.” The Lancet Neurology, Volume 12, Issue 3, Page 217, March 2013 http://www.thelancet.com/journals/laneur/article/PIIS1474-4422%2813%2970029-2/fulltext
- "The core of all of our research in the Parkinson's Disease Biomarker Program is to redefine Parkinson's. This program allows an avenue for researchers to unite, collaborate and ultimately expedite the advancement of understanding and treatment of Parkinson's disease." F. DuBois Bowman, PhD, associate http://www.eurekalert.org/pub_releases/2013-02/ehs-nfr021413.php
- "Development of an informatics system for accelerating biomedical research." Vivek Navale, Michele Ji, Olga Vovk, Leonie Misquitta, Tsega Gebremichael, Alison Garcia, Yang Fann, Matthew McAuliffe