My research is currently or recently supported by:

Research interests:
Much of the input to gravitational wave data analysis and the astrophysics of black hole binaries has relied on analytical approximations to
solutions of the Einstein equations, in my research I solve the full Einstein equations with numerical methods, and I investigate how this can improve the science output of astrophysical observations. This aim also calls for further improvements in the understanding of numerical and analytical techniques to solve the Einstein equations.
Some of my current research topics:
 Accurate numerical evolutions allow to test postNewtonian
approximations, and by matching to postNewtonian inspiral results, to
describe the complete evolution and gravitational wave signal of a
black hole binary. Crucial difficulties are in obtaining overall error
estimates and requirements for gravitational wave data analysis, and in
representing the full parameter space of precessing binaries.
 Physically accurate initial data for black hole spacetimes
 construction of loweccentricity black hole binaries, which are very common in astrophysical scenarios,
see e.g. PRD 77:044037, 2008.
 controlling the radiation content, this requires using nonconformally flat initial data,
see e.g. CQG. 24:S15S24,2007.
 For numerical evolutions it is beneficial to exploit explicitly
timeindependent slicings of spacetime, in many interesting cases these
have however not yet been constructed, and the full implications of available solutions is not yet fully explored,
see e.g. PRL 99:241102, 2007, PRD 78:064020,2008, CQG 26:175014, 2009.
 Analytical template banks for gravitational wave signals, which "interpolate" full numerical solutions,
see e.g. PRD 77:104017, 2008, arXiv:0909.2867.
 The NINJA project is a community effort to systematically test codes to search for gravitational waves from binary inspirals by injecting waveforms obtained from numerical solutions of the full Einstein equations into the noise of gravitational wave detectors.
Much of my research is carried out in collaboration with Mark Hannam @University of Vienna, the BAM developers @ University of Jena and Parameswaran Ajith @ Caltech.
