Summary
Jonas Dann is a postdoctoral researcher at ETH Zürich with 12 years of experience tackling hard problems in computer science, currently focusing on hardware acceleration and data movement for efficient data format conversions. Previously at SAP he completed a PhD and led FPGA-based acceleration work for non-relational and graph query processing, gaining deep expertise in memory access patterns and reconfigurable hardware. His background spans industry consulting on Big Data and machine learning pipelines, hands-on product work in analytics, and a solid academic foundation from KIT and Heidelberg. Jonas combines systems-level research with practical engineering—bridging FPGA development, database internals, and production-focused performance optimization. He is based in Zurich and brings a rare mix of long-term industrial experience inside SAP and current academic research driving novel acceleration techniques. An unobvious strength is his experience across six SAP departments during his dual studies, which gave him broad domain fluency beyond pure research.
12 years of coding experience
Bachelor of Science Applied Computer Science, Bachelor of Science Applied Computer Science at Baden-Wuerttemberg Cooperative State University (DHBW)
Master of Science Computer Science, Master of Science Computer Science at Karlsruhe Institute of Technology (KIT)
Doctor of Philosophy Computer Science, Doctor of Philosophy Computer Science at Heidelberg University
German, English, Italian