Yuan-Ru Lin
I have been a graduate student at the Experimental High-Energy Physics Laboratory at National Taiwan University for nearly six years. In addition to applying machine learning techniques in the context of physics analysis, I also enjoy thinking about engineering problems that may arise in the context of experimental high-energy physics.
This September, I will be attending the Physics Department's doctoral program at the University of Washington in Seattle, USA.
Sessions
In software development, there are often situations where it's difficult to balance execution efficiency and development efficiency. When physicists analyze a large amount of detector data, they often develop prototypes in Python during the early stages and rewrite them in C++ for high-performance versions in the later stages.
I will take the research I conducted during my master's program in the Department of Physics at National Taiwan University as a case study, comparing the original implementation using Python with C++, and a version replicated in Julia, and comment on the Julia packages that correspond to each function in ROOT, the original framework.