Recorded 02 December 2021. John Veitch of the University of Glasgow, Physics and Astronomy, presents " Computational Challenges in Gravitational Wave Parameter Estimation" at IPAM's Workshop IV: Big Data in Multi-Messenger Astrophysics. Abstract: After detection, parameter estimation for compact binary signals poses the most significant computational challenge to their analysis. Traditional stochastic sampling methods have been deployed for recent analyses from the O1-O3 runs, but the increasing number of sources and complexity of waveforms make further efficiency gains essential. Novel techniques making use of deep learning have been shown to dramatically reduce latency, at the cost of up-front training, but will they prove flexible enough for non-standard analyses? In this talk I will explore the future requirements for parameter estimation, and outline some of the novel methods that are being used to address these challenges. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/workshop-iv-big-data-in-multi-messenger-astrophysics/?tab=schedule