Inaugural lecture: From the Big Bang to AI

Posted on Jun 9, 2020 in AI, Bayes, Outreach, Public lecture, Research, Science, universe

My inaugural lecture as Professor of Astrostatistics at Imperial College London on Jan 15th 2020. A truly unique opportunity for me to sum up what I’ve learnt, from dark matter to Bayes, to the the audience to taste dark matter and feel the dark matter wind (!) and to share the journey. An unforgettable, emotional […]

Papers of interest on the arXiv today – Sept 26th 2016

Posted on Sep 26, 2016 in astro-ph, Bayes, Research

Two interesting papers on the methodology side today: A ML source detection method that detects ultra-faint streaks below the pixel level noise (arXiv:1609.07158). They call itย โ€œML” but in reality it uses MCMC to look at the Bayesian posterior (which is arguably a good thing!) and even Bayesian model comparison (in the BIC variety) to determine […]

Does being on Twitter make you a worse scientist? Yes… a bit.

Posted on Sep 19, 2014 in Bayes, Science, Social Media

I was intrigued by this claim, found in a Twitter survey of the “Top 50 Science Starsย on Twitter” that “most high-performing scientists have not embraced Twitter”. That article is debatable on other grounds, as well, in particular in terms of what defines a “Top Scientist” on Twitter. In fact, on closer inspection, the data on […]