"Bringing machine learning to life."
About
The Imageomics Institute establishes a new scientific field called “Imageomics”, in which machine learning algorithms are used to analyze vast image data to study biology. They work to characterize patterns and gain novel insights in all areas of biology to expand our understanding of the rules of life on Earth and how it evolves. Imageomics harnesses image data because it is the most abundant source of documentation of life on the planet. They focus on extracting and analyzing biological traits, making them computable at scale. Additionally, they educate the next generation of scientists and engage the broader public in scientific inquiry and knowledge discovery to transform and democratize science for public good.
Mission
"Creating a collaborative research, training, and community-facing environment for extracting existing and new biological traits from images of organisms, with the necessary infrastructure for cyber, information, and model development."
Vision
"To establish a new scientific field called imageomics that harnesses revolutions in data science and computing, as well as the rapidly expanding collections of biological image data, in order to accelerate biological understanding of phenotypic traits extracted from images of organisms."
Areas of work
Principal Investigators
View full team
Tanya Berger-Wolf
Principal Investigator
Charles V Stewart
Co-PI
Henry L Bart
Co-PI
Hilmar Lapp
Co-PI
Anuj Karpatne
Co-PI
