Theoretical physicist working at the intersection of astrophysics, particle physics, gravitational waves, and machine learning.
Currently based at the Institute of Physics, Czech Academy of Sciences in the beautiful city of Prague.
-
GPU-based Bayesian inference for gravitational waves
EMRI_MC (with Roberto Oliveri, Observatory of Paris)
-
Deep learning for chaos detection
Deep-classifier-for-chaos-and-order
Generative-adversarial-network-for-complex-systems -
Deep learning for astrophysics
Deep-learning-inference-of-the-neutron-star-equation-of-state (with Giulia Ventagli, Prague)
-
ML for weather forecasting
minRNNs-for-weather-prediction (with Vítězslav Hušek, Technical U. - Prague)
Weather_GNN (With Ben Ruggles, Portsmouth University)
- Python (PyTorch, TensorFlow), Fortran
- High-performance & GPU computing
- Bayesian inference, time series, transformers, LLMs, generative modelling, diffusion models, graph neural networks
A full list of publications and research statistics can be found through the following link: