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+DS IPLE: The Impact of Machine Learning in Astrophysics and Cosmology

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Thursday, March 19, 2020
4:30 pm - 6:30 pm
Dan Scolnic
+DS In-Person Learning Experiences

There is a big data revolution happening in astrophysics as the next generation of telescopes are coming online, with 20 terabytes of data coming from a single telescope per night. From this large amount of data, scientists are trying to find subtle clues that can help uncover the most profound mysteries in the universe. Here, I will focus on some of the machine learning and deep learning techniques that have been employed to classify different types of stars, galaxies and transients. I will go over recent successes and challenges, and show off the work I do, demonstrated by one of the latest and most popular Kaggle machine-learning competitions ever called 'PLAsTiCC Astronomical Classification: Can you help make sense of the Universe?' This session is part of the Duke+Data Science (+DS) program in-person learning experiences (IPLEs). To learn more, please visit