In Health, Predictions Are Better Than Reactions
Saturday, March 12
11:00AM - 12:00PM
110 E 2nd St
The big data revolution that has changed our world in so many ways is now impacting the most sacred aspect of our lives: our health. Today, increasing amounts of digital data about our lifestyle, health, and healthcare are being captured by a wide range of industries. These data are being used for a wide range of applications from improving our fitness to predicting when we will get sick. This session will explore the past, present and future of predictive big-data health analytics. The challenges of using routinely captured healthcare data for predictive analytics will be discussed in the context of the presenters ongoing work in predicting sepsis and surgical-site infections.
Chief Data Scientist
Dr. Jackson joined HCA in 2014 as Vice President, Clinical Service Group (CSG) and Chief Data Scientist. He was promoted to head the CSG Data & Analytics Department on January 1, 2016. As VP, he le...Show the rest
Dr. Jackson joined HCA in 2014 as Vice President, Clinical Service Group (CSG) and Chief Data Scientist. He was promoted to head the CSG Data & Analytics Department on January 1, 2016. As VP, he leads the team responsible for the identification, prioritization and execution of analytics work with the Clinical Services Group. As Chief Data Scientist, he provides corporate analytic leadership to a matrixed team of data scientists, ensuring usability of data science for business lines and leveraging the value of data of all types.
Prior to joining HCA, Dr. Jackson founded two consulting firms, including Cambridge Data Science, a consultancy that focused on specialized statistics and data science. He has applied his applied analytics skills in various fields, including analyzing real time signals in the defense industry, to financial modeling for a capital management firm, and to large, heterogeneous data sets in the field of biochemistry.
Originally from South Africa, Dr. Jackson holds undergraduate and graduate degrees in Electrical Engineering from the University of KwaZulu-Natal, South Africa. He completed his doctoral studies at the University of Cambridge, Cambridge, England, where he earned a PhD in Statistical Signal Processing.Hide the rest
Dir of Research
St. David’s Neuroscience And Spine Institute
Matthew Cowperthwaite is the Director of Research & Technology for St. David’s HealthCare Neurosciences. Since founding the research program in 2008, he has led development of research programs in...Show the rest
Matthew Cowperthwaite is the Director of Research & Technology for St. David’s HealthCare Neurosciences. Since founding the research program in 2008, he has led development of research programs in computational and biomedical sciences, including cancer genomics, big-data analytics, image processing, and computational neuroscience. He is actively working on brain-tumor evolutionary genetics and biomarker discovery, as well as the development of predictive analytics for surgical-site infections following lumbar spine fusions. Matt also has significant interest in the applications for mobile and wearable health technologies, and is working with local companies in the Austin tech sector to identify strategic partnerships and begin clinical studies in this area.
Previously, Matt was the Biomedical Informatics Program Coordinator at the Texas Advanced Computing Center (TACC) at The University of Texas at Austin. In this position, he led the Center’s efforts in the biomedical computing space, including leading grant funding strategies, submissions of multi-institutional grant proposals, developing and deploying software stacks for biomedical researchers, and providing consulting service to the TACC biomedical research community. Matt earned a Bachelor of Science in Plant Biology, magna cum laude, from the University of Maryland in College Park, and a PhD from The University of Texas at Austin in Cellular and Molecular Biology. Under the supervision of Dr. Lauren Ancel Meyers, his dissertation research focused on mathematical modeling, computer simulations, and bioinformatic studies of natural selection, population genetics, and artificially evolved functional RNA molecules.Hide the rest