Jonathan Gair

Jonathan Gair

Co-Investigator


I am a Group Leader at the Max Planck Institute for Gravitational Physics in Potsdam, Germany and I am one of the co-PIs of the Simons Collaboration on Strong Gravity and Black Holes. My research focusses on the analysis and scientific interpretation of data from gravitational wave detectors working in all different frequency bands. I am particularly interested in developing novel methods for the analysis of gravitational wave data. I was part of the team that developed DINGO, the first machine learning based parameter inference code for the analysis of data from ground-based gravitational wave detectors. I also helped to develop Erebor, one of a handful of prototype pipelines for carrying out the global fit of LISA data, necessary to constrain the properties of all the many overlapping sources expected in that data set. In the context of scientific applications of gravitational wave observations, I work on using gravitational wave sources as standard sirens to probe the expansion of the Universe, to test the predictions of general relativity in the strong field and to probe the astrophysical properties and environments of the sources. I am particularly interested in understanding how to make these observations robust to uncertainties in the models used to describe the physical phenomena, and the properties of the detectors being used to observe them. I am a member of the LIGO Scientific Collaboration, the European Pulsar Timing Array collaboration and I am the LISA Consortium representative on the LISA Science Team. Within the Simons Collaboration, I co-lead one of the WGs on Strong Observations.


jgair@aei.mpg.de