Daniel Scholz is a Senior Engineer specializing in Artificial Intelligence, focused on the safety and reliability of algorithms in automotive applications. They have a robust foundation in AI from their doctoral research on spiking neural networks for radar applications, which they pursued while at Infineon Technologies. Daniel's expertise extends to developing AI-based solutions for deployment on AURIX microcontrollers, utilizing Python for automation and neural network training. Their early experience includes hands-on work in cleanroom environments and supporting elderly residents during a voluntary year of social service. Daniel holds a Bachelor’s and Master’s degree in Microsystems Engineering from Albert-Ludwigs-Universität Freiburg im Breisgau.
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