Title: Machine Learning as a connection to bridge astrophysics with real world problems
Abstract:
In the last few years my career has spanned predicting epidemics in Burkina Faso, detecting Russian missiles with Mobile Phones, measuring the expansion rate of the Universe with gravitational lensing and detecting Dark Matter with Galaxy Clusters. It seems that they can all be connected via Machine Learning. In this talk I will present an overview of my work in these fields, and how I intend to use these commons tools in the coming five years as I endeavour to detect dark matter with all sky surveys.