Daniela Huppenkothen

Daniela Huppenkothen is the associate director of the Center for Data-Intensive Research in Astronomy and Cosmology (DIRAC) within the Astronomy Department at the University of Washington.

Previously, she was a Moore-Sloan Data Science Postdoctoral Fellow at New York University, after receiving her PhD at the University of Amsterdam in astronomy in 2013.

Daniela is interested in leveraging new statistical and computational methods to improve inference within astronomy. Her current research focuses mostly on time series analysis, across all parts of astronomy, including asteroids, the sun, neutron stars and black holes. She is interested in how we can use machine learning and statistics to mitigate biases introduced into our data by detectors and telescopes. She is lead developer of the open-source software project Stingray, which aims to build a well-tested, well-documented standard implementation of the most commonly used time series methods in astronomy.

She is interested in finding new ways to teach data science to astronomers as well as facilitating interdisciplinary collaborations as a co-organizer of AstroHackweek. She also thinks about participant selection for scientific workshops a lot.