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Russ B. Altman
Academic Appointments
- Professor, Bioengineering
- Professor, Genetics
- Member, Bio-X
- Member, Stanford Cancer Institute
- Professor, Medicine - Biomedical Informatics Research
- Professor (By courtesy), Computer Science
Key Documents
Contact Information
- Academic Offices
Personal Information Email Tel (650) 725-0659 Tel (650) 725-3394Alternate Contact Tiffany Murray Administrative Associate Email Tel Work 650-725-0659
Professional Overview
Administrative Appointments
- Chairman, Department of Bioengineering (2007 - present)
- Director, Biomedical Informatics Training Program (2000 - present)
- President-Elect, American Society for Clinical Pharmacology and Therapeutics (2012 - 2013)
- President, International Society for Computational Biology (2000 - 2001)
- Member, Biomedical Library and Informatics Research Commitee Study Section (NIH) (2002 - 2005)
Honors and Awards
- Fellow, International Society for Computational Biology (2010)
- Member, Institute of Medicine of the National Academies (2009)
- 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)
Professional Education
| AB: | Harvard College, Biochemistry & Molecular Biology (1983) |
| PhD: | Stanford University, Medical Information Sciences (1989) |
| MD: | Stanford University, Medicine (1990) |
Postdoctoral Advisees
Graduate & Fellowship Program Affiliations
Community and International Work
Internet Links
Industry Relationships
Stanford is committed to ethical and transparent interactions with our industrial and other commercial partners. It is our policy to disclose payments (exclusive of travel support) from, and/or equity in, companies or other commercial entities to Stanford faculty of $5,000 or more in total value, as well as any equity in a privately held company, when the faculty member also has institutional responsibilities related to his or her interactions with the company. View Full Information
Scientific Focus
Current 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 (https://riboweb.stanford.edu). Our latest effort is in the creation of a comprehensive pharmacogenomics knowledge base (https://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 (https://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
- Data-driven prediction of drug effects and interactions. Sci Transl Med. 2012; (125): 125ra31
- Discovery and explanation of drug-drug interactions via text mining. Pac Symp Biocomput. 2012: 410-21
- Translational bioinformatics: linking the molecular world to the clinical world. Clin Pharmacol Ther. 2012; (6): 994-1000
- Clinical assessment incorporating a personal genome. Lancet. 2010; (9725): 1525-35
- Estimation of the warfarin dose with clinical and pharmacogenetic data. N Engl J Med. 2009; (8): 753-64
- Simbios: an NIH national center for physics-based simulation of biological structures. J Am Med Inform Assoc. 2012 Mar-Apr; (2): 186-9
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