Nora Eisner, PhD
Project Management | Data Science | Quantitative research | Time-series analysis | Astrophysics | Video + Podcast Host
About me
I'm an astrophysicist with a Ph.D. from the University of Oxford, specializing in using novel and unconventional methods to detect planets outside of our own solar system. During my doctoral studies, I spearheaded a global citizen science project, which I continue to lead. Currently, I work at the Centre for Computational Astrophysics, where I employ various statistical methods to study time-series data. As a project manager, data scientist, and software developer, I bring a wealth of experience in algorithm development, statistical analysis (particularly Bayesian inference), and managing large-scale projects. My expertise lies in navigating high-dimensional parameter spaces and advancing global science platforms through innovative software solutions.
When not at my desk, I can often be found near a coffee machine.
Themes
Example: I designed, built, and continue to manage a global non-profit project designed to analyse time-series data with a global community of citizen scientists.
Example: Built a generalized model that predicts the observable effects of three-body dynamics in multiple types of astronomical time-series data, using symbolic coding tools including pyMC.
Example: Developed user-friendly, open-source data analysis tool in Python that automatically generates diagnostic reports to identify signals in time-series data.
Example: I identify and tackle scientific problems using qualitative research. This work has been published in numerous peer reviewed journals.