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Atul Butte, M.D., Ph.D. is Chief of the Division of Systems Medicine in the Department of Pediatrics, and an Associate Professor in Pediatrics, Medicine, and by courtesy, Computer Science, at Stanford University and the Lucile Packard Children's Hospital, and is a pediatric endocrinologist. Dr. Butte received his undergraduate degree in Computer Science from Brown University, and worked in several stints as a software engineer at Apple Computer (on the System 7 team) and Microsoft Corporation (on the Excel team). He graduated from the Brown University School of Medicine. He completed his residency in Pediatrics and Fellowship in Pediatric Endocrinology, both at Children's Hospital, Boston. Dr. Butte received a Ph.D. in Health Sciences and Technology from the Medical Engineering / Medical Physics Program in the Division of Health Sciences and Technology, at Harvard Medical School and Massachusetts Institute of Technology. The Butte Laboratory 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. 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), to deconvolve multi-cellular samples, published in Nature Methods (2010), and to perform these calculations on the internet "cloud", as published in Nature Biotechnology (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 fifteen NIH grants. Currently teaching
BIOE 191: Bioengineering Problems and Experimental Investigation
(Autumn, Winter, Spring, Summer)
BIOE 391: Directed Study (Autumn, Winter, Spring, Summer) BIOE 392: Directed Investigation (Autumn, Winter, Spring, Summer) BIOE 500: Thesis (Ph.D.) (Autumn, Winter, Spring, Summer) BIOMEDIN 290: Biomedical Informatics Teaching Methods (Autumn) BIOMEDIN 299: Directed Reading and Research (Autumn) BIOMEDIN 370: Medical Scholars Research (Autumn) CME 291: Master's Research (Spring, Summer) ENGR 199: Special Studies in Engineering (Spring) ENGR 199W: Writing of Original Research for Engineers (Autumn, Spring) IMMUNOL 199: Undergraduate Research (Autumn) IMMUNOL 280: Early Clinical Experience in Immunology (Autumn) IMMUNOL 290: Teaching in Immunology (Autumn) IMMUNOL 299: Directed Reading in Immunology (Autumn) IMMUNOL 399: Graduate Research (Autumn) PEDS 199: Undergraduate Directed Reading/Research (Autumn) PEDS 280: Early Clinical Experience (Autumn) PEDS 299: Directed Reading in Pediatrics (Autumn) PEDS 370: Medical Scholars Research (Autumn) PEDS 399: Graduate Research (Autumn) |
