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Behind the Code: Abel's Contributions to Julia Smooth Optimizers and Research Software Engineering
Manage episode 422195841 series 3435244
Content provided by Gareth Thomas. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gareth Thomas or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.
16 episodes
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Manage episode 422195841 series 3435244
Content provided by Gareth Thomas. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gareth Thomas or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.
16 episodes
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