I am a Data Scientist and Assistant Astronomer at Space Telescope Science Institute. My research focuses on developing new techniques to interpret astronomical data sets. By using machine
learning and statistical tools in an interdisciplinary approach, I create new ways to interpret cosmological
Space Telescope Science InstitutePosition –
Data ScientistHomepage –
Astronomy is entering an era of data-driven science, due in part to modern machine learning techniques enabling powerful new ways to analyze data. This is a shift in our scientific approach, and requires us to ask an important question: Can we trust the black box? In this talk, I will overview methods for benchmarking and assessing our algorithms. This is an essential step not just for creating more robust data analysis techniques, but also for building confidence within the astronomy community to trust machine learning methods and results.