Session Chair Profile

M.D., Ph.D., Director, Bakar Computational Health Sciences Institute, UCSF
Biography

Atul Butte, MD, PhD is the new Director of the new Bakar Computational Health Sciences Institute 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 2019 Silicon Valley

The PMWC 2019 AI Company Showcase will take place on January 22 and January 23 and will provide a 15-minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.

Confirmed Presenting Companies:

The PMWC 2019 AI Company Showcase will take place on January 22 and January 23 and will provide a 15-minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.

Confirmed Presenting Companies:

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