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Atul Butte
Academic Appointments
- Associate Professor, Pediatrics - Systems Medicine
- Member, Bio-X
- Member, Stanford Cancer Institute
- Member, Child Health Research Institute
- Associate Professor, Pathology
- Associate Professor (By courtesy), Computer Science
- Associate Professor (By courtesy), Medicine - Immunology & Rheumatology
Key Documents
Contact Information
- Academic Offices
Personal Information EmailAlternate Contact Susan Aptekar Administrative Associate Email Tel Work (650) 725-1337
Professional Overview
Administrative Appointments
- Division Chief, Division of Systems Medicine, Department of Pediatrics (2011 - present)
- External Scientific Advisory Board, Center for Human Immunology, National Institutes of Health (2009 - present)
- Associate Director, CTSA Translational Informatics Program, Stanford Center for Clinical and Translational Education and Research (2008 - 2012)
- Chair, External Advisory Board, Department of Biomedical Informatics, University of Pittsburgh (2007 - present)
- Director, Biomedical Informatics Scholarly Area (2007 - 2011)
- Board of Directors, American Medical Informatics Association (2007 - 2012)
Honors and Awards
- Top 10 Biotech Techies, FierceBiotech IT (2012)
- NIH Director's Lecture, National Institutes of Health (2012)
- Genomic Advance of the Month, National Human Genome Research Institute (NHGRI) (2011)
- Young Investigator Award, Society for Pediatric Research (2010)
- Elected Fellow, American College of Medical Informatics (2009)
- New Investigator Award, American Medical Informatics Association (2008)
Professional Education
| Ph.D.: | HST: MIT and Harvard Medical School, Health Sciences and Technology (2004) |
| M.S.: | MIT, Medical Informatics (2002) |
| Fellowship: | Children's Hospital Boston, Pediatric Endocrinology (2001) |
| Residency: | Children's Hospital Boston, Pediatrics (1998) |
| M.D.: | Brown Univ. School of Medicine (1995) |
| M.S.: | Brown Univ. School of Medicine, Medical Science (1995) |
Postdoctoral Advisees
Graduate & Fellowship Program Affiliations
Internet Links
Industry Relationships
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Scientific Focus
Current Research Interests
Atul Butte, MD, PhD is Chief of the Division of Systems Medicine and Associate Professor of Pediatrics, Medicine, and by courtesy, Computer Science, at Stanford University and Lucile Packard Children's Hospital. Dr. Butte trained in Computer Science at Brown University, worked as a software engineer at Apple and Microsoft, received his MD at Brown University, trained in Pediatrics and Pediatric Endocrinology at Children's Hospital Boston, then received his PhD in Health Sciences and Technology from Harvard Medical School and MIT.
The Butte Laboratory at Stanford builds and applies tools that convert more than 300 billion points of molecular, clinical, and epidemiological data measured by researchers and clinicians over the past decade into diagnostics, therapeutics, and new insights into disease. The Butte Laboratory currently has been funded by HHMI and under fifteen NIH grants. The Butte Laboratory has developed bioinformatics methods to take genomic, genetic, and phenotypic data from multiple sources and diseases, and reason over these data to create novel diagnostics, therapeutics, and discover novel molecular mechanisms of disease. Examples of this method includes work on cancer drug discovery published in the Proceedings of the National Academy of Science (2000), on type 2 diabetes published in the Proceedings of the National Academy of Science (2003), on fat cell formation published in Nature Cell Biology (2005), on obesity in Bioinformatics (2007), and in transplantation published in Proceedings of the National Academy of Science (2009). To facilitate this, the Butte Lab has developed tools to automatically index and find genomic data sets based on the phenotypic and contextual details of each experiment, published in Nature Biotechnology (2006), to re-map microarray data, published in Nature Methods (2007), and to deconvolve multi-cellular samples, published in Nature Methods (2010). The Butte Lab has also been developing novel methods in comparing clinical data from electronic health record systems with gene expression data, as described in Science (2008), and was part of the team performing the first clinical annotation of a patient presenting with a whole genome, as described in the Lancet (2010). The Butte Laboratory currently has been funded by HHMI and under sixteen NIH grants.
Dr. Butte has authored more than 100 publications and delivered more than 120 invited presentations in personalized and systems medicine, biomedical informatics, and molecular diabetes, including 20 at the National Institutes of Health or NIH-related meetings. Dr. Butte's research has been featured in the New York Times Science Times and the International Herald Tribune (2008), Wall Street Journal (2010 and 2011), and San Jose Mercury News (2010). Dr. Butte's recent awards include the 2010 Society for Pediatric Research Young Investigator Award, induction into the American College of Medical Informatics in 2009, the 2008 AMIA New Investigator Award, the 2007 Genome Technology "Tomorrow's Principal Investigator" Award, the 2007 Society for Medical Decision Making Award for Outstanding Short Course, the 2006 Howard Hughes Medical Institute Early Career Award, the 2006 PhRMA Foundation Research Starter Grant in Informatics, and the 2002 and 2003 American Association for Clinical Chemistry Outstanding Speaker Award. Dr. Butte also co-authored one of the first books on microarray analysis titled "Microarrays for an Integrative Genomics" published by MIT Press.
Clinical Trials
Publications
- Expression-based genome-wide association study links the receptor CD44 in adipose tissue with type 2 diabetes. Proc Natl Acad Sci U S A. 2012; (18): 7049-54
- Personal omics profiling reveals dynamic molecular and medical phenotypes. Cell. 2012; (6): 1293-307
- Computational repositioning of the anticonvulsant topiramate for inflammatory bowel disease. Sci Transl Med. 2011; (96): 96ra76
- Discovery and preclinical validation of drug indications using compendia of public gene expression data. Sci Transl Med. 2011; (96): 96ra77
- Performance comparison of exome DNA sequencing technologies. Nat Biotechnol. 2011; (10): 908-14
- An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus. PLoS One. 2010; (5): e10746
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