Schedule subject to change
Tuesday, July 14th
10:40 AM-11:00 AM
Introduction to the ODSS Data Science Sessions
Format: Live-stream
11:00 AM-11:20 AM
10 lessons we learned in 10 days about clinical data interoperability in the COVID crisis
Format: Live-stream
Presentation Overview: Show
11:20 AM-11:40 AM
12:00 PM-12:20 PM
12:20 PM-12:40 PM
Internet and Remote Sensing Data for Public Health Surveillance
Format: Live-stream
Presentation Overview: Show
2:00 PM-2:20 PM
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning
Format: Live-stream
Presentation Overview: Show
2:20 PM-2:40 PM
2:40 PM-3:00 PM
3:20 PM-3:40 PM
Training at the Intersection: Bringing Together Computation and Biomedicine
Format: Live-stream
Presentation Overview: Show
3:40 PM-4:00 PM
4:00 PM-4:20 PM
Reflections and Lessons from 15 Years of Training Computational Biologists
Format: Live-stream
Presentation Overview: Show
4:20 PM-4:40 PM
Integrating Biomedical Informatics and Data Science to Prepare the Precision Medicine Workforce
Format: Live-stream
Presentation Overview: Show
4:45 PM-6:00 PM
Panel Discussion
Format: Live-stream
Biography: Atul Butte
Atul Butte, MD, PhD is the Priscilla Chan and Mark Zuckerberg Distinguished Professor and inaugural Director of the Bakar Computational Health Sciences Institute (bchsi.ucsf.edu) at the University of California, San Francisco (UCSF). Dr. Butte is also the Chief Data Scientist for the entire University of California Health System, with 19 health professional schools, 6 medical centers, 12 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 over 200 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 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.