Two of our friends and customers at Arizona State University are pushing the frontiers of genomic data science.
Dr. Kenneth Buetow leads a team adopting a new type of healthcare predictive analytics by storing and processing genomics data in Hortonworks Data Platform and connecting it to a high-performance computing (HPC) environment. Dr. Buetow’s research aims to identify the genetic links to cancer and to isolate new ways of treating various forms of the disease.
Jay Etchings is ASU’s Director of Operations for Research Computing. He architected the distributed storage-compute environment that delivers the research data required by Dr. Buetow’s team for big data analytics in genomics.
Jay recently published a book, “Strategies in Biomedical Data Science,” that describes what medical researchers can accomplish when they have easy access to petabytes of genomics for big data in medicine.
Listen to Jay describe ASU’s Next Generation Cyber Capability for research computing and the value he gets from Hortonworks Support
I’m posting to make our community aware of Jay’s valuable contribution to the field and the pride that Hortonworks feels supporting that work through our technology and the enablement services we offer all of our customers.
Jay and Ken’s work at ASU is emblematic of the intellectual curiosity, the generosity and the type of breakthroughs we see across our customers using Hortonworks connected data platforms for Big Data analytics in healthcare.
In our ASU customer case study published in 2016, we described ASU’s work in detail. If this case study piques your interest or if you want to learn more about big data analytics in genomics, I encourage you to read Strategies in Biomedical Data Science for insight into topics such as:
If you want to learn more about other Hortonworks customers transforming biomedicine and healthcare, read their stories here:
Congratulations to all of those, like Jay and Ken at Arizona State University, who are harnessing more and better data to defeat humanity’s most devastating illnesses.