Inspiring Computing
The Inspiring Computing podcast is where computing meets the real world. This podcast aims to trigger your curiosity by talking to proficient and advanced users of MATLAB, Python, Julia who use these tools to deepen their understanding of the world, simulate, explore trade-offs and gain insights that help companies add more value. In addition to proficient users we will also talk with the product marketing, toolbox authors, package developers and library maintainers to see what drives the development and what issues they are solving for others to benefit from.
Inspiring Computing
Behind the Code: Abel's Contributions to Julia Smooth Optimizers and Research Software Engineering
In this podcast, Abel discusses his transition from academia and Brazil to becoming a research software engineer in the Netherlands. He emphasizes his reasons for choosing Julia such as its package ecosystem and speed. Abel details, his involvement with the Netherlands eScience Center, where he collaborates with researchers to develop software solutions. He also covers his background in applied mathematics and his early adoption and advocacy of Julia. The conversation touches on Julia Smooth Optimizers its utility and optimizing non-linear problems. And the importance of benchmarking for development. Abel shares insights into maintaining multiple interdependent packages in the Julia. And underscores the role of automation in testing and documentation. You also mentioned his contributions to the Juliet community through YouTube. And expresses openness to collaborating and supporting both academic and industrial projects involving Julia.
