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My work involves the detection of gravitational waves using the space-borne detector LISA (Laser Interferometer Space Antenna). I am interested in using a Bayesian framework to estimate the parameters of astrophysical systems, in particular, black hole binaries. During my PhD, I will likely focus developing theoretical templates for extreme mass ratio inspirals; where the larger primary black hole is near maximally spinning (extreme) and the smaller secondary compact object is on a trajectory mapped by the larger Kerr black holes spacetime geometry. Due to the complexity of LISA's orbit, there is a need to account for data gaps in potential gravitational wave signals. As such, I'm also investigating the effect of the effect on our ability to perform parameter estimation when the signal is subjected to gaps in the data.