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Our newsletter includes the 2013 Year in Review.

DBMI moved to the top floor (5A) of the new Biomedical Research Building (beside the School of Pharmacy) and we had a visit from UC President Janet Napolitano during the Open House. Please come visit our new digs.

We are starting the work in collaboration with all five UC Medical Centers, the VA Informatics and Computing Infrastructure, and USC-led federally qualified health systems in the Los Angeles area for the project patient-centered SCAlable National Network for Effectiveness Research (pSCANNER).  More information about this award is available here

The first short course in bioinformatics at the Universidade Eduardo Mondlane in Maputo, Mozambique, was completed in late February. Colleagues from Brazil organized this course.

DBMI has open positions for postdocs. For faculty positions, please send inquiries to dbmi-admin @

UCSD has a biomedical informatics training grant from the NIH (National Library of Medicine).
The grant supports a total of 15 trainees in UCSD degree programs. Click here for more Graduate Program Information.

An Introduction to the Division of Biomedical Informatics at UCSD

Biomedical Informatics is an interdisciplinary field at the intersection of biology, medicine, and quantitative sciences.
We develop new methods to integrate and analyze vast amounts of data generated in the laboratory, clinical and translational research, clinical encounters, and population studies.
Our goals: 

  • excel in biomedical informatics research, 
  • collaborate with biomedical researchers in developing new quantitative methods that enable the formulation and testing of original hypotheses, 
  • train the next generation of biomedical informatics specialists, and 
  • interface with engineering, mathematics, information and computer science communities, serving as a hub for quantitative scientists focused on biomedical research. 

In close collaboration with the UCSD Medical Center, the CTSA/CTRI, and with several academic departments and research units, we are developing novel methods to integrate, query, mine, and interpret clinical and experimental data stemming from heterogeneous sources in a secure and privacy-preserving manner.

Featured Projects 
  • National Center for Biomedical Computing iDASH, NIH 
  • Scalable National Network for Effectiveness Research (SCANNER), AHRQ 
  • Phenotype Discoverer in dbGaP Studies PhenDisco, NIH 
  • University of California Research exchange UC-ReX, UCOP

Recently published articles

From the SCANNER team: 

From the iDASH team:

See Publications for all articles in PubMed.  



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