Spotlight on our new students
As the first cohort of students enters their second year, the LIV.DAT community welcomes in its second cohort of students.
Spread across a similar range of topics and hailing from a wide variety of backgrounds both scientifically and geographically, the new cohort will undergo many of the same training courses and workshops as the previous cohort, streamlined and optimised from last year's feedback. Now, to introduce themselves, we will start a new series of 'CTD Student Interviews', which will give you a more personal insight into work, motivation and challenges of our new students. Be sure to have a look at their personal profiles as well.
Enjoy!
CDT Student Interviews - Spotlight on Adam Ruby
Why are you interested in Physics?
"I found it really cool how you can mathematically model stuff and see how situations unfold in simulations during my degree."
How did you end up in Liverpool?
"I lived here, I grew up here. After my undergrad I worked in industry for a year, working in a data science job. It felt like there were loads of gaps in the techniques they were using to process their data. I wanted to fill in those gaps, and I thought what better way than with physics? I heard about the LIV.DAT CDT position, and that was the trigger for me deciding to take a PhD."
Which contribution to your field do you consider to be the most significant?
"I work with the ATLAS experiment, and I think the most important contribution it's made is th ability to collect so much data on the aftermath of particle collisions. To be able to collide so many particles, and collect so much data on it is really amazing."
What do you hope to contribute to your field?
"I'm applying machine learning techniques to the analysis of ATLAS data. It feels like machine learning is right on the cutting edge, and it just needs someone to give it a push."
Where do you hope to end up after your PhD?
"I'd like to go back to the data science industry, and fill in the skill gaps with the skills I gain from the LIV.DAT training programme."
Why do you think Big Data is important?
"I think the most important thing about Big Data is that it's everywhere. The techniques in data science will effect everyone's lives."