Using Machine Learning to Identify Major Shifts in Human Gut Microbiome Protein Family Abundance in Disease
Proceedings Of The 2016 IEEE International Conference On Big Data. M. Yazdani, B. C. Taylor, J. W Debelius, W. Li, R. Knight, and L. Smarr. (2016).
A Public Infrastructure For Data Access – Quantified Self
Larry Smarr’s major contributions to scientific progress are well known. A physicist and the founding director of the National Center for Supercomputing Applications (NCSA), he helped bring the power of computing to scientific research at a time when computers will still highly specialized instruments.
Using Topological Data Analysis to find discrimination between microbial states in human microbiome data
Mehrdad Yazdani, Larry Smarr and Rob Knight. (2016).
Health and data: can digital fitness monitors revolutionise our lives? – The Guardian
From granular microchips to voice analysis, health-tracking technology offers medical benefits but doubt persist about the quality and security of data gathered
Larry Smarr is the poster boy for wearable devices and the quantified self – The Sydney Morning Herald
May 10, 2015 Smarr, an astrophysicist and computer scientist, could be the world’s most self-measured man. For nearly 15 years, the professor at the University of California at San Diego has been obsessed with what he describes as the most complicated subject he has ever experimented on: his own body. Link to Article