University of California San Francisco
Helen Diller Family Comprehensive Cancer Center
Atul Butte, MD, PhD

Atul Butte, MD, PhD

Director, Institute for Computational Health Sciences, Professor of Pediatrics, UCSF

Cancer Center Program Memberships

Cancer Genetics

Research Summary

In April 2015, I became the inaugural Director of the Bakar Computational Health Sciences Institute at the University of California, San Francisco, with the role of recruiting new computational-related faculty to UCSF.

My prior decade was spent at Stanford University, where I advanced from Assistant to Full Professor and Division Chief by developing and using bioinformatics methods to integrate, leverage, and reason over genomic and other molecular and clinical data sets to yield tools for physicians and patients. Example of this method includes work on cancer drug discovery (PNAS, 2000), type 2 diabetes (PNAS, 2003, 2012), fat cell formation (Nature Cell Biology, 2005), obesity (Bioinformatics, 2007), and transplantation (PNAS, 2009). To facilitate this, we developed tools to index public genomic data sets (Nature Biotechnology, 2006), reuse gene expression data (Nature Methods, 2007, 2010; Nature Communications 2015), and for cloud-computing (Nature Biotechnology, 2010). With these methods, we explore human physiology using electronic health record data (Science, 2008; Science Translational Medicine, 2014), estimate medical risk with whole genomes (Lancet, 2010), computationally reposition drugs (Science Translational Medicine, 2011). In newer work, we are studying entire medical systems through real-world clinical data (Journal of Clinical Investigation, 2020).

My research lab currently has 3 graduate students, 7 post-doctoral research fellows, and 3 staff members. I have successfully administered multiple research projects, including the NIAID ImmPort data archival repository, collaborated with many other researchers around the world, and continue to produce many peer-reviewed publications from each project. I have been heavily invested in teaching and mentoring. I am currently training or have trained 30 post-doctoral scholars in my research lab, with many obtaining prestigious research positions after departing. Twelve graduate students are completing, or have completed their PhD work in the lab, including two members of underrepresented minorities.

Education

  • Brown University, Providence, RI, A.B./Honors, 1987–1991, Computer Science
  • Brown University Medical School, RI, M.D., 1991–1995, Medicine
  • Children’s Hospital and Harvard, Boston, MA, Residency, 1995–1998, Pediatrics
  • Children’s Hospital and Harvard, Boston, MA, Fellowship, 1998–2001, Pediatric Endocrinology,
  • Massachusetts Institute of Technology, MA Sc.M. 1998–2002 Medical Informatics
  • Harvard Medical School and MIT, MA Ph.D. 2002–2004 Health Sci Technology

Honors & Awards

  • 2002, 2003
    Outstanding Speaker, American Association for Clinical Chemistry (awarded twice)
  • 2006
    PhRMA Foundation Informatics Research Starter Grant
  • 2006
    Howard Hughes Medical Institute Physician-Scientist Early Career Award
  • 2007
    Genome Technology magazine “Tomorrow’s Principal Investigator” award
  • 2008
    American Medical Informatics Association New Investigator Award
  • 2009
    Elected into the American College of Medical Informatics
  • 2010
    Young Investigator Award, Society for Pediatric Research
  • 2011
    National Human Genome Research Institute (NHGRI) Genomic Advance of the Month
  • 2012
    Recognized for Outstanding Scientific Accomplishment and Lectureship by the NIH Director (Wednesday Afternoon Lecture Series, WALS)
  • 2013
    Elected into the American Society of Clinical Investigation (ASCI)
  • 2013
    Awarded White House Champion of Change in Open Science
  • 2014
    Kavli Frontiers of Science Invited Fellow for the Indonesian-American Symposium, National Academy of Science
  • 2014
    E. Mead Johnson Award, Society for Pediatrics Research
  • 2015
    Elected to the National Academy of Medicine (NAS)

Selected Publications

  1. Eaneff S, Obermeyer Z, Butte AJ. The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies. JAMA. 2020 Sep 14.
    View on PubMed
  2. Norgeot B, Quer G, Beaulieu-Jones BK, Torkamani A, Dias R, Gianfrancesco M, Arnaout R, Kohane IS, Saria S, Topol E, Obermeyer Z, Yu B, Butte AJ. Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist. Nat Med. 2020 Sep; 26(9):1320-1324.
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  3. Hu Z, Tang A, Singh J, Bhattacharya S, Butte AJ. A robust and interpretable end-to-end deep learning model for cytometry data. Proc Natl Acad Sci U S A. 2020 09 01; 117(35):21373-21380.
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  4. Arneson D, Elliott M, Mosenia A, Oskotsky B, Vashisht R, Zack T, Bleicher P, Butte AJ, Rudrapatna VA. CovidCounties - an interactive, real-time tracker of the COVID-19 pandemic at the level of US counties. medRxiv. 2020 May 02.
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  5. Norgeot B, Muenzen K, Peterson TA, Fan X, Glicksberg BS, Schenk G, Rutenberg E, Oskotsky B, Sirota M, Yazdany J, Schmajuk G, Ludwig D, Goldstein T, Butte AJ. Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes. NPJ Digit Med. 2020; 3:57.
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  6. Rough K, Dai AM, Zhang K, Xue Y, Vardoulakis LM, Cui C, Butte AJ, Howell MD, Rajkomar A. Predicting Inpatient Medication Orders From Electronic Health Record Data. Clin Pharmacol Ther. 2020 Jul; 108(1):145-154.
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  7. Kosti I, Lyalina S, Pollard KS, Butte AJ, Sirota M. Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth. Front Microbiol. 2020; 11:476.
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  8. Sim I, Stebbins M, Bierer BE, Butte AJ, Drazen J, Dzau V, Hernandez AF, Krumholz HM, Lo B, Munos B, Perakslis E, Rockhold F, Ross JS, Terry SF, Yamamoto KR, Zarin DA, Li R. Time for NIH to lead on data sharing. Science. 2020 03 20; 367(6484):1308-1309.
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  9. Rudrapatna VA, Glicksberg BS, Avila P, Harding-Theobald E, Wang C, Butte AJ. Accuracy of medical billing data against the electronic health record in the measurement of colorectal cancer screening rates. BMJ Open Qual. 2020 03; 9(1).
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  10. Kurnat-Thoma E, Baranova A, Baird P, Brodsky E, Butte AJ, Cheema AK, Cheng F, Dutta S, Grant C, Giordano J, Maitland-van der Zee AH, Fridsma DB, Jarrin R, Kann MG, Keeney J, Loscalzo J, Madhavan G, Maron BA, McBride DK, McKean M, Mun SK, Palmer JC, Patel B, Parakh K, Pariser AR, Pristipino C, Radstake TRDJ, Rajasimha HK, Rouse WB, Rozman D, Saleh A, Schmidt HHHW, Schultz N, Sethi T, Silverman EK, Skopac J, Svab I, Trujillo S, Valentine JE, Verma D, West BJ, Vasudevan S. Recent Advances in Systems and Network Medicine: Meeting Report from the First International Conference in Systems and Network Medicine. Syst Med (New Rochelle). 2020; 3(1):22-35.
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  11. Nam SM, Peterson TA, Butte AJ, Seo KY, Han HW. Explanatory Model of Dry Eye Disease Using Health and Nutrition Examinations: Machine Learning and Network-Based Factor Analysis From a National Survey. JMIR Med Inform. 2020 Feb 20; 8(2):e16153.
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  12. Rudrapatna VA, Butte AJ. Opportunities and challenges in using real-world data for health care. J Clin Invest. 2020 02 03; 130(2):565-574.
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  13. Farrand E, Vittinghoff E, Ley B, Butte AJ, Collard HR. Corticosteroid use is not associated with improved outcomes in acute exacerbation of IPF. Respirology. 2020 Jun; 25(6):629-635.
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  14. Telwatte S, Morón-López S, Aran D, Kim P, Hsieh C, Joshi S, Montano M, Greene WC, Butte AJ, Wong JK, Yukl SA. Heterogeneity in HIV and cellular transcription profiles in cell line models of latent and productive infection: implications for HIV latency. Retrovirology. 2019 11 11; 16(1):32.
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  15. Glicksberg BS, Oskotsky B, Thangaraj PM, Giangreco N, Badgeley MA, Johnson KW, Datta D, Rudrapatna VA, Rappoport N, Shervey MM, Miotto R, Goldstein TC, Rutenberg E, Frazier R, Lee N, Israni S, Larsen R, Percha B, Li L, Dudley JT, Tatonetti NP, Butte AJ. PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinformatics. 2019 11 01; 35(21):4515-4518.
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  16. Paik H, Kan MJ, Rappoport N, Hadley D, Sirota M, Chen B, Manber U, Cho SB, Butte AJ. Tracing diagnosis trajectories over millions of patients reveal an unexpected risk in schizophrenia. Sci Data. 2019 10 15; 6(1):201.
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  17. Yu K, Chen B, Aran D, Charalel J, Yau C, Wolf DM, van 't Veer LJ, Butte AJ, Goldstein T, Sirota M. Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types. Nat Commun. 2019 08 08; 10(1):3574.
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  18. Nelson CA, Butte AJ, Baranzini SE. Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings. Nat Commun. 2019 07 10; 10(1):3045.
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  19. Schüssler-Fiorenza Rose SM, Contrepois K, Moneghetti KJ, Zhou W, Mishra T, Mataraso S, Dagan-Rosenfeld O, Ganz AB, Dunn J, Hornburg D, Rego S, Perelman D, Ahadi S, Sailani MR, Zhou Y, Leopold SR, Chen J, Ashland M, Christle JW, Avina M, Limcaoco P, Ruiz C, Tan M, Butte AJ, Weinstock GM, Slavich GM, Sodergren E, McLaughlin TL, Haddad F, Snyder MP. A longitudinal big data approach for precision health. Nat Med. 2019 05; 25(5):792-804.
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  20. Farrand E, Anstrom KJ, Bernard G, Butte AJ, Iribarren C, Ley B, Martinez FJ, Collard HR. Closing the Evidence Gap in Interstitial Lung Disease. The Promise of Real-World Data. Am J Respir Crit Care Med. 2019 05 01; 199(9):1061-1065.
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