|Title:||LIGO Detection: An exploration of complex data|
|Date:||Thursday, 28 September 2017|
|Time:||11:00 - 12:00|
In 2016 Kai Staats received his MSc in Applied Mathematics at the University of Cape Town / AIMS, under Dr. Bruce Bassett. His research was in the application of genetic programming, a type of machine learning, to the mitigation of RFI in radio astronomy data at the Square Kilometre Array, South Africa.
Kai is now a visiting scientist at LIGO, SKA, and ASU SESE where he is leading a team to build a mathematical model of a scalable human colony on Mars. At LIGO, Kai has since mid-2016 worked with Marco Cavaglia, Prof. at the University of Mississippi and member of the LIGO Scientific Collaboration, for the classification of glitches and discovery of mechanical couplings through machine learning.
Kai’s work in film has granted opportunity to produce three documentaries for LIGO, including “LIGO Detection” about the validation of the September 2015 observation of distant, merging black holes. His footage and films have aired on the National Science Foundation’s educational channels, Discovery Channel, Space.com, New Scientist, and PBS member stations.
Kai will provide an overview of his work at LIGO before showing his 20 minutes film “LIGO Detection”.