Statistical machine learning, data analysis and cosmology
I primarily work on the understanding and methodology of statistical machine learning for use in robust, scientific data analysis. Particularly, I focus on the use of Bayesian tools and novel computational techniques to learn about our universe from cosmological and astronomical datasets. I also have interests and experience in using stastistical and computational techniques for solving problems in domains outside of cosmology and astrophysics.

I am available for consultancy to both industry and academia in matters concerning machine learning, deep learning, interpretability and statistical methods.
Contact
email: tom@charnock.fr
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