I obtained my doctorate in Astrophysics from the University of Oxford in 2020. My thesis focused on statistical methods for analysis of cosmic microwave background observations, in particular the techniques required for the extraction of faint cosmological signals from Galactic foreground dominated observations. After my DPhil, I joined Tsinghua University as a Shuimu fellow. Here I have specialised in the development of algorithms for performing Bayesian inference with computationally expensive and high dimensional models, along with their applications to inference problems in cosmology.
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Date | Time | Local Time | Room | Session | Role | Topic |
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2024-07-14 | 14:00-14:20 | 2024-07-14,14:00-14:20 | Speaker | Flow Annealed Kalman Inversion with Sequential Monte Carlo for Gradient-Free Bayesian Inference |