I am fascinated by the extremes. In astrophysics, this means the neutron stars, objects weighing more than the Sun but of the size of a city, composed of the densest matter currently existing in the Universe, and the black holes - manifestations of pure geometry of curved spacetime.

To learn more about these unusual objects, my research interests revolve around the gravitational-wave data analysis methods (and, in general, methods of analysing the difficult, noisy data) and modeling of various astrophysical compact objects using numerical general relativity and dense matter physics. This often requires a lot of coding, the use of high-performance computing (with hardware accelerators like the Graphical Processing Units) and the usage of novel types of machine learning algorithms, like the deep neural networks.

I work at the Nicolaus Copernicus Astronomical Center (CAMK) in Warsaw, Poland as an associate professor. In 2018 I moved for a year to the APC in Paris to work in the gravitation group on problems related to astrophysics and machine learning.

My published works are accesible online thanks to the arXiv and NASA ADS databases. Here is my scientific CV.

## My group in Warsaw:

- Magdalena Sieniawska (PhD student),
- Filip Morawski (PhD student),
- dr Marek Cieślar (post-doc),
- dr Paweł Ciecieląg (CAMK staff).

## Software projects I like

- Polgraw All-Sky pipeline to search for almost monochromatic gravitational waves (source codes on github)
- SageManifolds (Differential geometry and tensor calculus with Sage) with Sage (Software for Algebra and Geometry Experimentation)
- LORENE (Langage Objet pour la RElativité NumériquE)
- gwpy (python package for gravitational-wave astrophysics)

## Collaborations

- LIGO-Virgo Collaboration (LVC): LIGO (Laser Interferometer Gravitational Wave Observatory)-Virgo (Virgo detector, European Gravitational Observatory),
- Virgo-POLGRAW Consortium,
- COST action G2net, a network for Gravitational Waves, Geophysics and Machine Learning,
- Einstein Telescope design and study team.