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This Week’s Discoveries | 9 Mei 2017

  • Daniela Huppenkothen
Datum
9 mei 2017
Tijd
Bezoekadres
Oortgebouw
Niels Bohrweg 2
2333 CA Leiden
Zaal
De Sitterzaal

Lecture, Lorentz Center highlight


Title
Unravelling the Long-Term Evolution of Black Holes with Machine Learning.

Speaker
Daniela Huppenkothen (New York University) is a Moore-Sloan Data Science Fellow at New York University's Center for Data Science. Her research interests are:

  • High-energy transient phenomena, black holes, neutron stars
  • Bayesian inference and Bayesian hierarchical modeling for X-ray data analysis
  • Machine learning; Hidden Markov Models and related methods
  • Open-source software development for X-ray data analysis
  • Non-stationary time series in astronomy

She is one of the organizers of the workshop 'Python in Astronomy' that is being held in the Lorentz Center from 8 May 2017 through 12 May 2017

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