BIG DATA & HEALTHCARE ANALYTICS: A HIMSS EVENT
BOSTON, MA - OCTOBER 23-24, 2017
John Quackenbush received his PhD in 1990 in theoretical physics from UCLA working on string theory models. Following two years as a postdoctoral fellow in physics, Dr. Quackenbush applied for and received a Special Emphasis Research Career Award from the National Center for Human Genome Research to work on the Human Genome Project. He spent two years at the Salk Institute and two years at Stanford University working at the interface of genomics and computational biology.
In 1997 he joined the faculty of The Institute for Genomic Research (TIGR) where his focus began to shift to understanding what was encoded within the human genome. Since joining the faculties of the Dana-Farber Cancer Institute and the Harvard School of Public Health in 2005, his work has focused on the use of genomic data to reconstruct the networks of genes that drive the development of diseases such as cancer and emphysema.
Imagine someone bought you a big, shiny new car – before you learned to drive. That’s a little bit like what’s happened in healthcare: Organizations have made huge investments in technology to generate untold amounts of data, but comparatively little in tools to make sense of it all.
In this opening keynote, computational biologist and genome scientist, John Quackenbush examines this current state of affairs and asks: What must we do to make data accessible in ways that people want to use it? How do we get the most value out of the data we have?
Along the way, he’ll explain why data is destined to fundamentally change healthcare.
"When you look at the great scientific revolutions,” he said, “it's data that drives discovery. We all think we know about how the universe operates, but when you start to get empirical data, you realize how incomplete our understanding truly is.”