Stanford School of Medicine

Russ B. Altman

Contact Information

  • Clinical Offices
    Dept of Engineering 318 Campus Dr S170 Stanford, CA 94305
    Telephone Work (650) 725-3394 Fax (650) 723-8544
  • Academic Offices
    Personal Information
    Email Russ.Altman@stanford.edu Tel (650) 725-0659, (650) 725-3394
    Administrative Contact
    Tiffany Murray Administrative Associate Tel Work 650-725-0659

Administrative Appointments

  • Chairman, Department of Bioengineering , (2007– present )
  • Director, Biomedical Informatics Training Program , (2000– present )
  • Member, Biomedical Library and Informatics Research Commitee Study Section (NIH) , (2002– 2005 )
  • President, International Society for Computational Biology , (2000– 2001 )

Honors and Awards

  • Fellow, American Institute for Medical and Biological Engineering (2007)
  • Fellow, American College of Physicians (1998)
  • U.S. Presidential Early Career Award for Scientists & Engineers, NIH (1997)
  • Post-Doctoral Fellowship, Howard Hughes Medical Institute (1991)
  • Award for Excellence in Graduate Teaching, Stanford Medical School (2000)
  • Fellow, American College of Medical Informatics (1998)

Professional Education

  • AB, Harvard College Biochemistry & Molecular Biology (1983)
  • PhD, Stanford University Medical Information Sciences (1989)
  • MD, Stanford University Medicine (1990)

Graduate & Fellowship Program Affiliations

Community & International Work

  • Attending Physician, Medicine, Menlo Park, CA More »

Research Interests

I am interested in the application of computational technologies to problems in molecular biology of relevance to medicine. In particular, my laboratory focuses on three areas. First, we are interested in building structured information repositories to support biological research. Our first effort was the RiboWEB resource for supporting studies of the bacterial ribosome (http://riboweb.stanford.edu). Our latest effort is in the creation of a comprehensive pharmacogenomics knowledge base (http://www.pharmgkb.org/) that provides access to information relating genotype to phenotype (in particular, how variation in genetics leads to variation in response to drugs). Second, we are interested in the elucidation and analysis of three dimensional structures. We have projects for computing 3D molecular structures from sparse and noisy data, and for analyzing these structures to recognize and annotate active sites. We are interested in physics-based simulation of biological structures (http://simbios.stanford.edu/). Third, we are interested in computational methods for analyzing functional genomics information. We are focusing on the use of natural language processing techniques for extracting and summarizing information, and in the development of novel methods for analyzing microarray expression data. We are applying these technologies to the study of functional genomics.

Publications