Lezing
This Week’s Discoveries | 9 Mei 2017
- Daniela Huppenkothen
- Datum
- dinsdag 9 mei 2017
- Tijd
- Locatie
- Oort
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