Christopher Mullen Email & Phone Number

Edinburgh, Gb

Edinburgh, Scotland, United Kingdom

Worked for the INFN as a Research Data Scientist on the CLAS12 experiment at Jefferson Laboratory. The research was focused on the development of a software framework to enable faster, more consistent and more reliable extraction of features from the data. This required the development and integration of Monte Carlo simulaitons of the experiment into the framework primarily using Python and C++ in a Linux environment. Jupyter notebooks were used to create tutorials illustrating the how the user… Show more Worked for the INFN as a Research Data Scientist on the CLAS12 experiment at Jefferson Laboratory. The research was focused on the development of a software framework to enable faster, more consistent and more reliable extraction of features from the data. This required the development and integration of Monte Carlo simulaitons of the experiment into the framework primarily using Python and C++ in a Linux environment. Jupyter notebooks were used to create tutorials illustrating the how the user could interact and utilise the framework to produce results in an efficient manner. Show less

Glasgow, Scotland, United Kingdom

Previously a PhD student at the University of Glasgow within the Nuclear and Hadron Physics group where I researched the nature of the nucleon for the A2 collaboration at MAMI, Germany. This involved applying modern data analysis techniques on big data, software development to create an analysis framework to clean, process, analyse and visualise the data, and turning complex mathematical models into functional and flexible code. This work was primarily conducted using Python, C++ and bash… Show more Previously a PhD student at the University of Glasgow within the Nuclear and Hadron Physics group where I researched the nature of the nucleon for the A2 collaboration at MAMI, Germany. This involved applying modern data analysis techniques on big data, software development to create an analysis framework to clean, process, analyse and visualise the data, and turning complex mathematical models into functional and flexible code. This work was primarily conducted using Python, C++ and bash programming. Machine learning classification techniques were used to identify combinations of particles in the detectors and linear regression model was used to apply energy corrections these particles. Results were presented internationally and to a wide range of audiences. Additionally, the role afforded the opportunity to teach C++, bash and programming in a Linux environment to undergraduate students. Show less

Doctor Of Philosophy - Phd, Physics

Master'S Degree, Physics