Session Chair Profile

M.D., Ph.D., Director, Institute for Computational Health Sciences, UCSF

Atul Butte, MD, PhD is the new Director of the new Institute of Computational Health Sciences (ICHS) at the University of California, San Francisco, and a Professor of Pediatrics. 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. Dr. Butte has authored nearly 200 publications, with research repeatedly featured in Wired Magazine, the New York Times, and the Wall Street Journal. In 2013, Dr. Butte was recognized by the White House as an Open Science Champion of Change for promoting science through publicly available data. Dr. Butte is also a founder of three investor-backed data-driven companies: Personalis, providing clinical interpretation of whole genome sequences, Carmenta (acquired by Progenity), discovering diagnostics for pregnancy complications, and NuMedii, finding new uses for drugs through open molecular data. Dr. Butte is also the principal investigator of ImmPort, the clinical and molecular data repository for the National Institute of Allergy and Infectious Diseases.

Session Abstract – PMWC 2018 Silicon Valley

Session Synopsis: We see an emerging era of potential explosive growth of AI applications in healthcare, but the implementation and access to AI is challenged by isolated data stores and the high degree of complexity of the available tools. Furthermore, deep learning requires lots of data to train and refine models which, in turn, complicates and burdens compute systems as well as data movement. This panel will discuss AI and machine learning systems requirements, and potential paths to overcoming the challenges of AI implementation.