Muyu Li's Master Thesis selected for the Fritz Kutter Award

Muyu Li's Master Thesis, "Efficiently Scheduling Remote And Local Resources in ML Data Input Pipelines",  advised by Ana Klimovic and Dan Graur, has been selected for the Fritz Kutter Award to recognise "high quality, innovative theses that are considered to be directly relevant to industry".