Atul Butte, MD, PhD

Department of Pediatrics
+1 415 514-0528
Research Description: 

Atul Butte, MD, PhD
Priscilla Chan and Mark Zuckerberg Distinguished Professor of Pediatrics, Bioengineering and Therapeutic Sciences, and Epidemiology and Biostatistics at UCSF
Director, Bakar Computational Health Sciences Institute, UCSF
Chief Data Scientist, University of California Health System (UC Health)

Atul Butte, MD, PhD is the Priscilla Chan and Mark Zuckerberg Distinguished Professor and inaugural Director of the Bakar Computational Health Sciences Institute ( at the University of California, San Francisco (UCSF). Dr. Butte is also the Chief Data Scientist for the entire University of California Health System, the tenth largest by revenue in the United States, with 20 health professional schools, 6 medical schools, 6 academic health centers, 10 hospitals, and over 1000 care delivery sites. Dr. Butte has been continually funded by NIH for 20 years, is an inventor on 24 patents, and has authored nearly 300 publications, with research repeatedly featured in the New York Times, Wall Street Journal, and Wired Magazine. Dr. Butte was elected into the National Academy of Medicine in 2015, and in 2013, he was recognized by the Obama Administration as a White House Champion of Change in Open Science for promoting science through publicly available data. Dr. Butte is also a co-founder of three investor-backed data-driven companies: Personalis (IPO, 2019), providing medical genome sequencing services, Carmenta (acquired by Progenity, 2015), discovering diagnostics for pregnancy complications, and NuMedii, finding new uses for drugs through open molecular data. 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 from Harvard Medical School and MIT.

Primary Thematic Area: 
Human Genetics
Secondary Thematic Area: 
Research Summary: 
Dr. Butte builds and applies tools that convert more than 400 trillion points of molecular, clinical, and epidemiological data into diagnostics, therapeutics, and new insights into disease.
Mentorship Development: 

5/2021 - Sharpening your Mentoring Skills (SyMS)


Single-cell RNA-seq analysis reveals cell subsets and gene signatures associated with Rheumatoid Arthritis Disease Activity.

JCI insight

Binvignat M, Miao BY, Wibrand C, Yang MM, Rychkov D, Flynn E, Nititham J, Tamaki W, Khan U, Carvidi A, Krueger M, Niemi EC, Sun Y, Fragiadakis GK, Sellam J, Mariotti-Ferrandiz E, Klatzmann D, Gross AJ, Ye CJ, Butte AJ, Criswell LA, Nakamura MC, Sirota M

Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review.

Journal of the American College of Cardiology

Khera R, Oikonomou EK, Nadkarni GN, Morley JR, Wiens J, Butte AJ, Topol EJ

A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports.

Journal of the American Medical Informatics Association : JAMIA

Sushil M, Zack T, Mandair D, Zheng Z, Wali A, Yu YN, Quan Y, Lituiev D, Butte AJ

Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department.

JAMA Network Open

Williams CYK, Zack T, Miao BY, Sushil M, Wang M, Kornblith AE, Butte AJ

Ethical and regulatory challenges of large language models in medicine.

The Lancet. Digital health

Ong JCL, Chang SY, William W, Butte AJ, Shah NH, Chew LST, Liu N, Doshi-Velez F, Lu W, Savulescu J, Ting DSW