Sequential Inference for Gravitational-Wave Astronomy: Methods and Applications with Sequential Monte Carlo
Colloquium, Max Planck Institute for Gravitational Physics, Golm, Germany
Talks and presentations
Talk map
Talks
Invited Talks & Colloquia
ML-enhanced sampling
Invited talk, GWFreeRide, Sexten Centre For Astrophysics Riccardo Giacconi, Sexten, Italy
Accelerating gravitational-wave inference with machine learning
Colloquium, Centre of Particle Physics and Astronomy, Royal Holloway, University of London, Egham, UK
GW searches and PE: UK’s role, future challenges and active research
Invited talk, GW:UK@Nottingham, Nottingham, UK
Accelerating gravitational-wave inference with machine learning
Colloquium, GRASP, University of Utrecht, Utrecht, Netherlands
Accelerating nested sampling with normalizing flows
Colloquium, Queen Mary University, London, UK
Machine learning to accelerate data analysis in LISA
Invited talk, Enabling Future Gravitational Wave Astrophysics in the Milli-Hertz Regime, Garching, Germany
Machine learning for gravitational-wave data inference
Invited talk, Challenges and future perspectives in gravitational- wave astronomy: O4 and beyond, Lorentz Center, Leiden, Netherlands
Importance nested sampling with normalizing flows
Invited talk, 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Max-Planck-Institut für Plasmaphysik, Garching, Germany
Introduction to normalising flows
Invited talk, Machine Learning in Science, University of Glasgow, Glasgow, UK
Why is machine learning relevant to astronomers
Colloquium, Department of Physics, CSU Fullerton (remote), California, US
Incorporating machine learning into existing techniques for gravitational-wave inference: nested sampling with normalising flow
Invited talk, TianQin Research Center for Gravitational Physics, Sun Yat-sen University (remote), Zhuhai, China
Incorporating machine learning into existing techniques for gravitational-wave inference: nested sampling with normalising flow
Invited talk, Max Planck Institute for Gravitational Physics, Albert Einstein Institute (remote), Hannover, Germany
Contributed Talks
Posterior post-processing for gravitational-wave inference
Contributed talk, European AI for Fundamental Physics Conference 2025, Cagliari, Italy
Posterior post-processing for gravitational-wave inference
Contributed talk, AIslands 2025: Bute, Rothesay, Bute, Scotland
Importance nested sampling with normalising flows
Contributed talk, European AI for Fundamental Physics Conference 2024, Amsterdam, Netherlands
Premerger observation and characterization of supermassive black hole binaries
Contributed talk, 15th International LISA Symposium, University College Dublin, Dublin, Ireland
Importance nested sampling with normalising flows
Contributed talk, AIslands 2024: Arran, Arran, Scotland
Importance nested sampling with nessai for gravitational-wave inference
Contributed talk, Glasgow G2Net Meeting 2022, Glasgow, Scotland
Importance nested sampling with nessai
Contributed talk, BritGrav22, University of Glasgow (remote), Glasgow, UK
Posters
Impact of galaxy catalogues on parameter estimation
Poster, LVK Meeting March 2024, Baton Rouge, USA
nessai: Improved nested sampling with normalising flows
Poster, National Astronomy Meeting 2021, University of Bath (remote), Bath, UK
Convolutional Neural Networks for Gravitational Wave Detection
Poster, PCCP Workshop Series : Bayesian Deep Learning for Cosmology and Gravitational waves, Universite de Paris, Paris, France