Computational Scientist

Daniel Galea

I am a computational scientist interested in applying Machine Learning, especially Deep Learning, to problems in Meteorology. I have submitted my PhD thesis, in which a method for online data reduction of data in climate models was created. I am also interested in weather and climate and how models can be improved, especially with the help of data science. I have joined NCAS where I’ll be working on smart pre-fetching of data from tape systems.

Outside of work, you’ll find me watching sports (football, cricket, golf and boxing are my favorites), reading or playing with my side projects.

Last update: 26th October 2022