While Elaina has historically focused on astronomy and physics in her studies, her true passion lies with the data science, theory and programming behind it. She has developed a machine learning process to search large datasets in astronomy, and at the moment is primarily interested in coding algorithms in Python to study the use of data science and statistics within the realm of Galactic Archaeology.
Elaina holds a Ph.D. degree from Macquarie University, Masters degrees from the Ludwig Maximilian University of Munich (with the Max-Planck Institute) and University of Amsterdam, as well as a Bachelors in Astronomy and Physics (with minors in Optical Engineering and Planetary Sciences) from the University of Arizona. She enjoys science-art, planetary sciences, Archaeo-astronomy, space sciences (in particular Mars satellite imagery via THEMIS) and exoplanet studies (although she can explore these only in her spare time!).
Elaina has taught aspects of Data Science and Statistics previously at Western Sydney University and is excited to be bringing those skills to General Assembly Sydney. She has developed a Python software package for the International Telescopes Support office at the Australian Astronomical Observatory and is currently branching out to include citizen science projects and Gamification of data in her research.
Data Science Immersive
Make smarter decisions by gaining the data analytics, data modeling, programming and statistics skills you need to start a career in data.
Python Class for Beginners
In this class, you’ll how to get started with Python, what advantages and disadvantages Python provides as a programming language, and the essentials of programming in Python.