Õ¬ÄÐÊÓƵ

Upon discovering the CDT DIS PhD programme, I was impressed by its commitment to offering students real-world industry exposure.

Project title: Advancing b-jet identification tools at the ATLAS experiment to contribute in our understanding of the Universe

Research Group:

Supervisor(s): Prof Tim Scanlon

±õ²Ô³Ù°ù´Ç»å³Ü³¦³Ù¾±´Ç²Ô:Ìý

Before embarking on my PhD journey, I earned an MSci in Physics at UCL, where I became fascinated by the wide-ranging applications of machine learning in physics research. A transformative summer internship deepened my enthusiasm for leveraging data science to push the boundaries of our understanding of the Universe. Upon encountering the CDT DIS PhD programme, I was impressed by its commitment to offering students real-world industry exposure. Recognising it as the perfect avenue to develop the advanced technical skills essential for success in any data science-related career, I eagerly seized the opportunity.

---

Project description:ÌýÌý

By utilising state-of-the-art machine learning tools, I aim to advance b-jet identification techniques at the ATLAS experiment. I will also be improving the trigger algorithms embedded in FPGAs. I will then utilised the refined algorithms to search for evidence of Higgs self-coupling. Detecting and measuring this interaction will deepen our understanding of the Higgs sector and provide insight to the origin and evolution of the Universe.

First year group project:ÌýMediaTek Research

Placement:Ìý

---

Ìý

Ìý