Abstract: In this presentation, I will explore the complexities behind MATLAB's user-friendly interface. I will highlight the challenges in language design and evolution, emphasizing that ease of use does not necessarily translate to ease of implementation. I will also offer a high-level overview of Just-In-Time (JIT) compilation and its applications, demonstrating its significance in improving MATLAB's execution performance. This talk aims to provide insights into the development of a widely used software product essential to engineers and scientists in the world.

Short Bio: Andrew Yi-Zong Ou is a Senior Software Engineer at MathWorks, specializing in Just-In-Time (JIT) Compilation for MATLAB. A graduate from National Tsing-Hua University, Taiwan, he advanced his academic journey by earning a PhD in Computer Science from the University of Illinois Urbana-Champaign in 2019. Since then, Andrew has been applying his expertise at MathWorks, where he contributes to enhancing MATLAB execution performance and efficiency, and bridges the gap between theoretical computer science and practical application.