Industry best practices in code development
by
FA32
AlbaNova Main Building
Research code is often written to answer a specific scientific question by people whose primary expertise is not software engineering. How can such code be made robust, maintainable, and easy to use?
This talk presents industry best practices in code development, including version control with Git, code review, automated testing, and Agile-inspired workflows. These habits improve teamwork and support knowledge transfer within a research group, while making the software reliable and maintainable long after the original authors have moved on.
Zoom link: https://stockholmuniversity.zoom.us/j/64663065395
About the speaker: Mathias Ljungberg received his PhD in Chemical Physics from Stockholm University in 2010. He then held postdoctoral positions in Barcelona, Bordeaux, and San Sebastián before moving to industry in 2017. After transitioning into AI and Data Science, he worked both as a consultant and in larger companies. He is currently working on a project at Fysikum, Stockholm University, developing neural network molecular force fields.