Henry is originally from Florence and completed his MSci in Mathematics at Imperial College London in 2021. During his studies he mainly focused on probability, statistics, machine learning and stochastic analysis, as well as mathematical physics and computational mathematics. In his thesis, titled “Astronomical Cross-matching of Binary Black Hole Mergers using Bayesian Inference”, he used Bayesian Methods to develop a mathematical framework for determining whether gravitational waves originating from super-massive binary black hole mergers could be matched with electromagnetic flashes. While at StatML, Henry hopes to explore Bayesian Statistics, Time Series, Artificial Intelligence and Machine Learning further, as well as their applications to Physics. Outside of academia, Henry enjoys playing sports such as tennis and padel, long-distance running and playing the piano.
Henry Palasciano
