Jason Ran
The CDT at °×С½ãÂÛ̳, with its focus on data science and physics, was a natural progression in my academic journey.
10 June 2024
Project title:ÌýBayesian Methods for Planet Formation
Research Group: Astrophysics
Supervisor(s): DrÌýMihkel Kama
±õ²Ô³Ù°ù´Ç»å³Ü³¦³Ù¾±´Ç²Ô:Ìý
My academic journey prior to °×С½ãÂÛ̳ was characterised by a diverse range of projects spanning various fields, highlighting the interdisciplinary nature of my interests. This was especially evident during my MSci in Physics at Imperial College London, where I delved into space weather simulations and machine learning. Joining the CDT at °×С½ãÂÛ̳, with its emphasis on data science and physics, felt like a natural continuation of my academic trajectory.
Project description:ÌýÌý
Cutting-edge machine learning and statistical methods have revolutionised exoplanet research. Through my PhD, I will explore applications of these methods to the closely related field of planet formation, especially regarding the resulting exoplanet populations and origins of chemical diversity.
First year group project:ÌýBiologically Informed Neural Networks for Radiosensitivity Prediction - °×С½ãÂÛ̳ Department of Medical Physics and Biomedical Engineering
Placement:Ìý
Ìý
Ìý